Phases

Does up gradation in SAP haunts you and you need the support of someone to keep up with them. Vridhi Softech is one such firm which cope with SAP upgrade phases and even helps in effective implementation

Complete Fiitjee IIT - jee mains and advance 2 year classroom program package for class 11th

Online banking classes for bank exams - Bank exam preparation with Takshila Learning. This is regarding the Online Classesof banking exam – SBI/PO/RRB/IBPS CLERK for All Now Student can take these classes at their home without travelling at Our Centres. Takshila Learning Pvt. Ltd. brings to you the most advanced and cost effective Online Classes for Banking now in Online Live mode. Join our Banking classes for Bank PO, Bank Clerk, SBI PO, SBI SO, IBPS PO, IBPS SO and other Banking Exams. Get Bank Power: Comprehensive E-learning Kit with Video lectures, ebooks, mock test papers, tests and more!. The Banking Video Course consists of a complete package of video tutorials for bank exams. We are providing our course in animated, recorded and combo packages with fully support for students. Takshila Learning is focusing on decrease students queries related to course. Takshila giving deep knowledge and solutions for all banking subjects. Different Bank Exam in India · SBI PO The SBI recruits the Probationary Officers (PO) who holds the position of an assistant manager in the branches of SBI after a probation (training) of two years. This is an entry level position for the bank officers who started to work after posting. The exam is conducted in three phases – the prelims, the mains and the interview. Tentative month for prelims: July. Different Bank Exams In India · IBPS PO The IBPS conducts a recruitment process to select the Probationary Officers (PO) for all the participating banks. This exam is also conducted in three phases i.e. the prelims, the mains and the interview. Tentative month for prelims: October. Get IBPS PO online classes on TakshilaLearning · SBI Clerk The SBI conducts its own nationwide exam to recruit the clerks for its various branches across the country. This exam is conducted only in two phases – the prelims and the mains. Tentative month for prelims: August. Learn SBI Clerk Online Classes on Takshila Learning. · IBPS Clerk - Online classes for IBPS IBPS is responsible for recruiting various clerk positions like cashier, SWO, etc for all the participating banks which is known as the IBPS Clerk exam. This exam is also conducted in two phases i.e. the prelims and the mains. Tentative month for prelims: November. Get free online mock test for ibps clerk on Takshila Learning. · SBI SO The SBI recruits the Specialist Officers (SO) for its various branches across the country through the SBI SO exam. The exam is conducted in two phases – the online exam and the interview. Tentative month for prelims: January. Get sbi bank po free online coaching by Takshila Learning · IBPS SO IBPS conducts the IBPS SO exam to recruit various Specialist officers for different departments (according to the candidate’s specialization) for all the participating banks. The exam is again conducted in three phases i.e. the prelims, the mains and the interview. Tentative month for prelims: December. IBPS RRB - RRB Online classes The IBPS conducts the exam to recruit candidates for various posts like Office Assistant, and Scale 1,2,3 Officers in the Regional Rural Banks called the IBPS RRB. The pattern of exam for all the posts are a bit different from each other. For Office assistants prelims and mains are conducted while for the scale 2 and 3 Officers, a single examination is conducted. Tentative month for prelims (Office assistants,Scale 1 officers): September. Tentative month for Single exam (Scale 2 and 3 Officers): November.

Course content: "Teradata Admin Track" Teradata Architecture and other essentials Introduction What is Teradata and role of Teradata in Data Ware housing industry, Evolution of Teradata DW, Significant characteristics of Teradata, Advantages of Teradata over other RDBMS Teradata Architecture Understanding H/W and S/W components, involved in Architecture of Terdata(vdisks, AMP, PE Vprocs, BYNET etc...). Data distribution Understanding significance of Index in teradata(UPI, NUPI, SI, NUSI, Partitioned index) Data Protection Different levels of failures that could happen and fault tolarance of Teradata in that situations. (CLIQUE, CLUSTER, RAID, LOCKS and JORNALS) Advanced Teradata SQL HELP, SHOW, EXPLAIN, Define and execution of Macros, Date calculations, data type conversion, Case, COALESCE, sample, Ranking, Qualify, CSUM, MSUM, MDIFF, MAVG, WITH, WITH BY. Others (Optional) Unix Role of Unix in executing Teradata utility scripts and Basic commands used General Lifecycle of the projects General phases of a Development project. Documents required in each phase DBA Teradata DBA basics and responsibilities Initial Teradata Databases Administrative User Owners, Parents and Children Creating New Users and Databases Transfer of Ownership DELETE/DROP Statements User and Security Management Understand the Heirarchy,Teradata Administrator tool usage to perform creation of users, databases, Identify spaces, skew of databases, Moving spaces and accesses, And all the practicals to perform of all coming up topics. The Data Dictionary Updating Data Dictionary Tables Supplied Data Dictionary Views Restricted Views Suffix Options with Views Selecting Information about Created Object Children View, Databases View, Users View, Tables View Columns View, Indices View Capacity management and planning Spaces and types of tables - PERM, SPOOL, TEMP space terminology, Derived,Volatile, Global temporary tables. Identify current space usage and estimate the space requirments for the applications. Users, Accounts, and Accounting Creating and Using Account IDs Using Account IDs with Logon Dynamically Changing an Account ID Account Priorities Account String Expansion Access Rights Privileges/Access Rights Implicit, Automatic, and Explicit Rights GRAND and REVOKE accesses, GIVE command System Views for Access Rights Inheriting Access Rights, Transfer access rights, Delete or Drop / user or database Roles and Profiles What is a role, Advantages of Roles, Access Rights Using a Role, Implementing Roles, Nesting of roles, views for roles, Profiles, implementing Profiles, Teradata password control Work load management and Priority scheduler Levels of Workload Management, Priority Scheduler Architecture, and concepts Access logging and Query logging Setting up Access Logging, AccLogRules View, Query Logging (DBQL) Concepts, Objects used in Defining Rules for DBQL, DBQLRules View Setting up Access Logging, AccLogRules View, Query Logging (DBQL) Concepts, Objects used in Defining Rules for DBQL, DBQLRules View Performance monitoring (PMON) Resource usage, Session Management User session Info, SQL & Explain Steps Archive and Restore and copy Archive and restore data using ARCMAIN utility, Different levels of archiving and restoration, HUT locks, Revalidate references after restoration View point The Demo of view point portlets (which is new tool for DBAs having the features of PMON, TDMANAGER and TASM Performance tuning Explain plan, Statistics and Join strategies Explain plan and recommandations. Significance of collecting statistics Other indexes, and techniques Determine the proper join columns, Join index, Spars index, Aggregate index, SET / MULTSET with UPI and NUPI combinations, compress. Course Content: Teradata Dev Track History and Architecture Introduction OLTP, OLAP systems, Dataware house and Data Marts, Dimenssion modeling, Schemas, What is Teradata and role of Teradata in DW, Evolution of Teradata DW, Advantages of Teradata over other RDBMS Teradata Architecture Understanding H/W and S/W components, involved in Architecture of Terdata(vdisks, AMP, PE Vprocs, BYNET etc…). Database structure Data distribution Understanding significance of Index in teradata(UPI, NUPI, SI, NUSI, Partitioned index) Data Protection Different levels of failures that could happen and fault tolarance of Teradata in that situations.(CLIQUE, CLUSTER, RAID, LOCKS and JORNALS) Spaces and types of tables Different levels of accessing the objects granting the Privileges and locking mechanism SQL ASNI SQL Brief introduction of Relational concepts, understanding users, databases, tables, vies, index, macro etc. Sub query, corelated query, Data types, Joins, Arthimatic functions Teradata SQL Explore teradata specifc SQL statements such as show, help,explain..SET operations, Aggregate functions, Sring functions, Aliasing,FORMAT, conversion of the datatypes. Advanced Teradata SQL Define and execution of Macros, Date calculations, Case, COALESCE, sample, Ranking, Qualify, CSUM, MSUM, WITH, WITH BY. Client utilities SQL Assistant Settup ODBC for connecting through SQL assistant, options menu and EXPORT/IMPORT BTEQ Functinality,operations, exectuion and limitations FAST LOAD Functinality, Different phases, exectuion, restartability and limitations FAST EXPORT Functinality, Different phases, exectuion, restartability and limitations MULTI LOAD Functinality, Different phases, exectuion, restartability and limitations Performance tuning Explain plan & Statistics & Understanding Explain plan and recommandations. Significance of collecting statistics Other techniques Determine the proper join columns, Join index, Spars index, Aggregate index, SET / MULTSET with UPI and NUPI combinations, compress Others (Optional) Unix Role of Unix in executing Teradata utility scripts and Basic commands used General Lifecycle of the projects General phases of a Development project. Documents required in each phase

QA Testing Course Content: MANUAL TESTING SDLC 1. What are the different phases of SDLC? 2. How does the process of Software Development Start? 3. Project Initiation 4. Requirement Gathering and Analysis 5. What is Requirement document and what it contains? 6. What is use case document and what it contains? 7. What is Basic path and Alternate Path? 8. Role of Business Analyst 9. Example for explaining each phase 10. Role of technical specification team 11. What is Technical specification document? 12. What is System Design? 13. Role of Design team 14. What is design document? 15. Role of architecture team 16. System development 17. Role of development team 18. Deliverable of Development phase 19. System testing 20. Role of testers and types of testing 21. User acceptance testing 22. System deployment 23. System maintenance 24. Events in the maintenance phase like bug fixes 25. STLC 26. How are the phases of STLC carried out? 27. What is testing? 28. Role of testers 29. Why do we need to test? 30. Activities involved in the testing phase 31. What is test plan and test case document? 32. Steps of test case execution 33. What does test case document contain? 34. How to write test case document? 35. What is required to test any application? TEST CASES 1. What is test case? 2. What does test case document contain? 3. How to write test case document? 4. Different test case techniques TEST PLAN 1. What is Test Plan? 2. How to write test plan document? 3. What does the test plan document contain? 4. Who writes and approves the test plan document? 5. How manage the test case documents? 6. What is the pass/fail criterion? TYPES OF TESTING 1. Different Phases of testing 2. What is unit testing? 3. What is Minimum acceptance testing? 4. What is integration, system and system integration testing? 5. What is User acceptance testing? 6. What is Regression Testing? DEFECT ANALYSIS 1. What is a defect? 2. Various Defect tracking tools 3. How to use the defect tracking tools? 4. How to enter the details of defect in the defect tracking tool? 5. How to identify a defect? What is severity and priority? TRACEABILITY MATRIX 1. What is Traceability Matrix[TM]? 2. Who Prepares the TM document? 3. What is the reference for writing TM? 4. What is the use of TM? 5. What is present in the TM document? 6. Sample TM 7. Tools used for developing TM Various Teams and their Roles 1. Configuration Management Team 2. Role of configuration management team 3. What is Deployment? 4. Deployment Team 5. Role of Deployment team 6. Version Control 7. Various version tools and its usage 8. Difference between QC and QA 9. What is automation testing? 10. Why, what and when to automate? 11. Various tools used for automation testing MANAGEMENT TOOL QUALITY CENTER 1. Introduction to Quality Center 2. What is Quality Center ? 3. Why to use Quality Center 4. Version of Quality Center 5. Overview of quality Center user interface 6. Various tabs in Quality center 7. Requirement Module 8. Requirement Module Overview 9. Creating Requirement tree 10. Creating Parent & Child requirements 11. Understanding the Description tab 12. Understanding the History tab 13. Uploading attachments to requirement 14. A glance at various columns in requirement 15. Types of views in requirement module 16. Requirement grid view 17. Requirement coverage view 18. Test Plan Module 19. Creating folder structure 20. Create test cases 21. Requirement coverage 22. Test Lab Module 23. Overview of Test Lab 24. Detail of various tabs 25. Creating folders 26. Creating Test sets 27. Adding test cases 28. Different columns in Execution Grid 29. Execution Flow tab 30. Scheduling Test runs 31. Test Set Properties tab 32. Linked Defects tab 33. Running Tests manually 34. Running Tests automatically 35. Viewing Test results Quality Center Defects Overview of Defects 1. Creating defects after test execution 2. Adding defects in defect module 3. Creating defects during test execution 4. Linking Defects 5. How to close a defect 6. Closing defects after retest 7. Mailing the defects 8. Quality Center reports & graphs 9. Why Reports & Graphs? 10. How to create reports & graphs for Analysis? AUTOMATION TESTING: QUICK TEST PROFESSIONAL 1. Introduction to QTP 2. What is QTP 3. Prepare Before Automation 4. Application Under Test 5. First look at Add-Ins for QTP 6. Understanding the QTP User Interface Setting up preferences in QTP before recording. 1. Different versions of QTP(Text based) 2. Difference between QTP 9.0 and QTP 8.2. 3. Difference between QTP 9.2 and QTP 9.0 4. Difference between QTP 9.5 and QTP 9.2. • Record and run a script • Record a simple script • Save the script • Run the test script • Understand the result Introduction to Object Repository 1. What is Object Repository 2. Types of Object Repository 3. Object Repository Manager 4. Associating shared Object Repository with test 5. Shared Object Repository 6. Local Object Repository 7. Create a shared Object Repository 8. Add objects to shared Object Repository 9. Save an shared Object Repository 10. Modify the shared Object Repository 11. Comparing Local and Shared Object Repository Synchronization 1. What is Synchronization 2. Synchronization in QTP 3. Add Synchronization Steps for an Object Check Point 1. What is Check Point 2. Using Standard Check Point 3. Using Text Check Point 4. Using Access ability check point 5. Using XML Check Point Database checkpoint 1. What is database checkpoint 2. Writing SQL Query using Microsoft Query 3. Parameterize a database checkpoint 4. Output Values 5. What is Output value 6. Using Standard Output value 7. Using Text Output value 8. Using Database Output value 9. Using XML Output value Data Driven Test 1. What is Data Driven test 2. What is Parameterization http://trainingforu.blogspot.in/ Contact Person: Ashwini (M) 09620914455. Email: ashwini.hbst@gmail.com For More Details: Contact or Consult Our Office Once.

SADGURU TECHNOLOGIES---040- Linux Administration Online TrainingCourse Duration - 40hrs Google+ Linux basic concepts & installations: Installation in Standalone Machine Installation through NFS Installation through FTP Installation through HTTP Installation through KICKSTART File System Management: Creation of File Systems Understanding EXT2, EXT3& EXT4 File Systems Converting Ext2 to Ext3 file systems Reverting back from Ext3 to Ext2 files systems Understanding fdisk,e2label, mount, umount commands Understanding fstab and mtab files TROUBLESHOOTING User management: Understanding different types of groups and creation of groups Creation of users in different groups Understanding Passwd, Shadow Files Understanding passwd aging Creation of quotas for users, groups and file systems Understanding users security files The different commands for Monitoring the users TROUBLESHOOTING Run levels: Understanding the different types of run-levels Understanding different types of shutdown commands Understanding run control scripts Understanding the different types Network file system (NFS): Understanding NFS server and NFS clients Understanding daemons and files in NFS of boot phases Configuring NFS server and different NFS clients Configuration of autofs, NFS security File transfer protocol: Understanding the features and advantages of FTP server Configuring FTP server and FTP clients Configuring FTP server for anonymous and real users with download and upload permissions Configuring FTP user access, FTP security Understanding FTP Basic Commands Configuring of anonymous FTP Server XINETD: Understanding xinetd based and non xinetd based services Configuring xinetd based services Xinetd security TCP WRAPPER: Understanding TCP WRAPPER Configuring TCP WRAPPER for services Domain naming service: Understanding DNS service and different types of DNS servers Configuring DNS (master) DNS (Slave) Understanding & Configuring forward (DNS) and cache (DNS) of boot phases Understanding different types of files when the system is booting TROUBLESHOOTING Logical volume manager (LVM): Creation of file systems and converting into LVM Creation of physical partitions Creation of volume groups Creation of logical partitions Extending the volume group Extending the logical partitions Package Manager (RPM): Understanding the features and advantages of RPM Installation of RPM packages Upgradation of RPM Verification of RPM Q u e r y i n g, T R O U B L E SHOOTING Backup and recovery: Understanding different types of file system backup Understanding different types of files backups Understanding different types of file system backups Understanding different types of dump levels Understanding monthly, weekly, daily backups Different types of backup strategies Automation of jobs: At Jobs. Cron Jobs Network information service: Understanding NIS and daemons at NIS (Server, Slave and Clients) Configuring NIS (master), NIS (slave) and NIS clients in heterogeneous environments Integrating NIS (master and slave) with NFS Server

B. Arch is a five year graduate program in Architecture, design and structure of building covering the sociological, systematic and environmental aspects. The course seeks the students having skills like drawing, writing, exploration of the given topic, practical and managerial ability in identifying and solving problems and architectural presentation etc. The subjects for the Bachelor of Architecture include Mathematics, CADD, Urban Economics and Sociology History of Architecture and Interior Design etc. Promote immediately we have 140 seats in St.Peters with only 1lk donation r u there · Candidates should have passed 12th standard or equivalent examination with a minimum aggregate of 60% marks with Mathematics and English as subjects of study. · 50% marks with M.P.C can try n close. (Donation may range from 2Lk to 5Lk.) · Candidates should have passed National Aptitude Test in Architecture (NATA). · Students appeared for 10+2 examination in March /April are eligible to apply. · Candidates who have studied in Regular, Full Time and Formal Education are alone eligible to apply Advantages or Benefits of B. Arch Architecture is a profession for the people who have talents in artistic and aesthetic. There is always a demand for good architects so as to utilize the entire construction space in building projects. B. Arch course curriculum The B. Arch program is of 5 years and is alienated into two phases. The first phase covers the three year full time course and 20 weeks internship at any professional organization or building sites. The second phase is characterized with the preparation research paper, design thesis and also conduct seminars. The second phases is for a duration of 2 years and it can be consider as the more practical based approach of the theory part. The student is evaluated in each ten semesters and the degree is awarded at the end of the tenth semester. The academic covers the areas of arts which deals with the designing parts, drawing, fine arts etc. The other subjects for a B. Arch student are from engineering, humanities, and technology and expertise practice of architecture. B. Arch Specializations The specialization areas of the Bachelor of Architecture includes the following, Green Architecture. Landscape Architecture. Museum Architecture. Naval Architecture. Theatre Architecture. What to do after B. Arch? The students who want to do further studies in the field is to chose M. Arch after B.Arch. The higher studies option after B. Arch is Master of Technology in Construction of Project Management (M.Tech – CPM) Master of Technology in Environmental Planning (M.Tech – EP) Master of Technology in Housing (M.Tech. - HSG) Master of Technology in Infrastructure Planning (M.Tech – IP) Master of Technology in Urban and Regional Planning (M.Tech. - URP) Postgraduate Diploma Programme in Design (PGDPD) Job and Career options for B.Arch Employment Areas Architecture and Building Development Firms. Department of Post and Telegraph. Department of Railways. Job Types Architectural Technician. Architectural Theoretician. Architectural Conservator. Architectural Engineer. Since our county is in the developing phase more and more residential and non-residential constructions are needed every year. Admissions for B.Arch engineering Venu reddy: Contact information: ,040-. F.No.103,PrashantiRamTowersNearSaradhiStudioRoad,Ameerpet,Hyderabad Telangana, India

IT Professionals - 100% pass guaranteed - ITIL Training & Exam till EXPERT-on Weekends- Limited Offer. Pay only for exam. ITIL is designed around the concept of the IT Service Lifecycle – 5 phases – from Service Strategy through to Service Design, Transition and Operations with Continual Service Improvement as the main phases. This is the proven set of best practices that can be adapted into any service industry by an individual. Contact@/ / -DreamsPlus #75 Burkit Road, T Nagar, Chennai-17

Contact Us @ For Admissions in B. Arch in Top Colleges of Andha Pradesh, Tamilnadu, Karnataka, Maharashtra & Delhi / NCR for Engineering, Medicine, Technology & Management Courses etc @ reasonable packages. B. Arch is a five year graduate program in Architecture, design and structure of building covering the sociological, systematic and environmental aspects. The course seeks the students having skills like drawing, writing, exploration of the given topic, practical and managerial ability in identifying and solving problems and architectural presentation etc. The subjects for the Bachelor of Architecture include Mathematics, CADD, Urban Economics and Sociology History of Architecture and Interior Design etc. B Arch eligibility: · Candidates should have passed 12th standard or equivalent examination with a minimum aggregate of 60% marks with Mathematics and English as subjects of study. · 50% marks with M.P.C can try n close. (Donation may range from 2Lk to 5Lk.) · Candidates should have passed National Aptitude Test in Architecture (NATA). · Students appeared for 10+2 examination in March /April are eligible to apply. · Candidates who have studied in Regular, Full Time and Formal Education are alone eligible to apply Advantages or Benefits of B. Arch Architecture is a profession for the people who have talents in artistic and aesthetic. There is always a demand for good architects so as to utilize the entire construction space in building projects. B. Arch course curriculum The B. Arch program is of 5 years and is alienated into two phases. The first phase covers the three year full time course and 20 weeks internship at any professional organization or building sites. The second phase is characterized with the preparation research paper, design thesis and also conduct seminars. The second phases is for a duration of 2 years and it can be consider as the more practical based approach of the theory part. The student is evaluated in each ten semesters and the degree is awarded at the end of the tenth semester. The academic covers the areas of arts which deals with the designing parts, drawing, fine arts etc. The other subjects for a B. Arch student are from engineering, humanities, and technology and expertise practice of architecture. What to do after B. Arch? The students who want to do further studies in the field is to chose M. Arch after B.Arch. Since our county is in the developing phase more and more residential and non-residential constructions are needed every year. Venu reddy: Contact information: ,040-,, , . http://way2universities.com F.No.103,PrashantiRamTowersNearSaradhiStudioRoad,Ameerpet,Hyderabad Telangana, India. http://barchm.blogspot.in/

Auditorium Design Software Architecture Drawings | Delhi, India. The drawings go with various phases to suit the seating, equipment, and staff. An auditorium building is especially created, altering with pockets and reflectors so the confined space inside the enclosure can be totally utilized. These restricted spaces need to house a considerable number of people. The drawings go with various phases to suit the seating, equipment and staff. Elevated stage space demands impressively more area.

LOOKING FOR ADVANCED SAP PP TRAINING…. PP Course content * Covering all types of industries like, Discrete manf. Repetetive manf. Process ind. Project based ind. * ENTERPRISE STRUCTURE Creation(Organition unit): (Covering FI,CO,MM & PP) Finance Acc. Controlling Log.-Gen. Mat. mang. * MASTER DATA: Material master BOM Work center PRT Routing Production version * PRODUCT COST PLANNING Profit center Cost center Cost element primary Cost element Secondary Activity type * PLAN ORDER Creation SOP-Std. SOP-Flexible Planned ind. req. W/o MRP * CAPACITY PLANNING * CAPACITY LEVELLING * Conversion of Plan ord. into Production ord. * Goods issue * Order confirmation * Goods receipt * Stock verification * Ord. information system * VARIANT CONFIGURATION * KANBAN * PROJECT details, Types Tools used Phases CONFIGURATION/CUST. Role of Functional Consultant http://trainingforu.blogspot.in/ Contact Person: Ashwini (M) 09620914455. Email: ashwini.hbst@gmail.com For More Details: Contact or Consult Our Office Once.

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE II. PIG • Basics • Installation and Configurations • Commands….

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering,

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join and...

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce

We offered training on SAP SD by industry experienced trainer Sap sd course Syllabus Sales Overview * Process in Sales and Distribution * Basics in Sales and Distribution transaction * Sales doc structure * Presales process to complete sales doc. * Sales transaction and its basics * Sales Organizations and enterprise architecture. * Sales org's units and its contents creation and assigning * Org units in sales process and objectives: Enterprise overview and creation with cross module overview: * Overview of Enterprise structure and its relationship with MM and FI view * Transaction process and its relationship. * Relation between Fi and SD. * Creation of org structures in Sales area and its corresponding units. Sales order creation and understand the business needs and information process and its relation. * Sales order processing from the SAP point of view. * Information process in sales view: Where and how the sales order is being processed. * Understand and create Business partners and master data. * Automatic information process in sales view :: e.g.: plants * Exploring business process in sales order.: changes to sales order docs * Understand the sales process blocks. The behavior and control of sales docs with sales doc types. * The business objectives and its importance. * Function and process in controlling and customizing sales doc types * Business process in sales and its functions * phases in sales and its doc category types and how to control sales doc types * Doc types functions * Customizing doc types for sales process and assigning to specific sales areas. * Process and functions and customizing of the sales doc types. * Sales doc types and its comparison Modifying the sales doc types with item category according to the business needs. * Key Process in determining and customizing the item categories and its examples and its purpose. * Item category functionality overview, and variation, and its outcome. * Creating of Item category and linking them to customized sales doc types. * Item Categories and item Category Determination. * BOM : Bills of materials in sales doc and its purpose in sales process * How to create and process with different functionality and its rules. Sales document and item schedule control. * The nature of the doc type and its categories: schedule line and its functionality. * Exploring schedule line categories. * The process and functions in creating and linking schedule line categories to sales doc types. The flow of screens in sales and data transformation from doc type to doc type. * Understanding of doc flow and completion status of the doc process. * Copying control in Sales docs and its usage. Special Business sales process and its transaction. * Order types, output types, and how delivery is planned if certain goods are to be free or priced. * Consignments: business process and its various special issues in business process. * The nature of the order type and the business requirements. Fill-up, pickup, issues, billing. Document process in Incompletion. * What are the impacts of incompletion rule and its behavior in sales docs. * How to customizing the incompletion for a given sales doc. * Controlling the Incompletion log. * At what level it is used and how. What and who are business partners and its determination. * How to configure the business partners and its business needs. * Partner functions and nature of relationship. * Partners in sales process. * Customers Master and Account Group. * Role of partner function per account groups. * Partner determination and its procedures. * Partner determination for sales docs. Outline agreements and its overview. * Understanding of outline agreements. * Sales doc types for different outline agreements. * How to schedule outline agreement. * Quantity contract. * Messages about open outline agreements. * How the data is activated for contracts; and * how to determine the dates for these kind of contract agreements * Creation and exploring them to complete the process in agreements. * Scheduling agreements, Rental contract, value contract and Partners authorization to release. * Customizing for item categories in the value contract. Material Determination. * Material inclusion and mat Exclusion * Creation of Material Determination Master Record * Procedure in condition technique listing and exclusion * Hands on material determination and product selection and material Listing and material Exclusion. Free goods and its sales process. * Understanding business process and needs in free goods concept overview * Exploring free goods and customizing free goods. * Hands on free goods process. Condition technique, free goods master data, free goods calculation rule. Please call arun on 9845382820 Techsys, Basaveshwaranagar, (near havanoor Circle) Bangalore - 79

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau  1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class.,,..

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner.,

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats.,

​ HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics • Installations • Backups • Snapshots 2. Linux Basics • Installations • Commands 3. Hadoop Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs Map-side join • Reduce-Side join 9. Map reduce – customization Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…...

Type Computer ACADEMIC PROJECTS Assyst Information Technologies Pvt Ltd., started in , (a group company of Assyst International Pvt Ltd,an CMMMI Level 3 company.) is an exclusive offshore software development center addressed to meet the I.T needs in India, the Middle East and the Asia-Pacific region We are providing necessary facilities to do the academic Projects for the students of all streams like B.E / B.Tech / MCA, M.Tech / M.Sc (IT & CS). Project assistance is available in the following languages (1).Net [ASP & C#] (2) Java (3) J2EE (4) J2ME (5) PHP (6) Android (7) SharePoint Project Details 1) Training in the opted stream will be provided before doing the project. 2) Students have to do the project by themselves. Guidance will be provided. 3) Time of Project is Monday-Friday. 4) Internal reviews will be conducted in between. 5) Duration of project will depends on the college norms Academic Project – Phases PHASE 1 – Training & Requirement Analysis PHASE 2 – DESIGN PHASE 3 – Coding PHASE 4 – Testing & Deployment PHASE 5 – Documentation NB: 1) Student has to submit a request letter from the HOD before the commencement of project. 2) A project guide will be assigned to the student. 3) Certificate will be issued after the final project presentation conducted internally. Contact:

Type Computer ACADEMIC PROJECTS Assyst Information Technologies Pvt Ltd., started in , (a group company of Assyst International Pvt Ltd,an CMMMI Level 3 compny) is an exclusive offshore software development center addressed to meet the I.T needs in India, the Middle East and the Asia-Pacific region We are providing necessary facilities to do the academic Projects for the students of all streams like B.E / B.Tech / MCA, M.Tech / M.Sc (IT & CS). Project assistance is available in the following languages (1).Net [ASP & C#] (2) Java (3) J2EE (4) J2ME (5) PHP (6) Android (7) SharePoint Project Details 1) Training in the opted stream will be provided before doing the project. 2) Students have to do the project by themselves. Guidance will be provided. 3) Time of Project is Monday-Friday. 4) Internal reviews will be conducted in between. 5) Duration of project will depends on the college norms Academic Project – Phases PHASE 1 – Training & Requirement Analysis PHASE 2 – DESIGN PHASE 3 – Coding PHASE 4 – Testing & Deployment PHASE 5 – Documentation NB: 1) Student has to submit a request letter from the HOD before the commencement of project. 2) A project guide will be assigned to the student. 3) Certificate will be issued after the final project presentation conducted internally.

Type Computer ACADEMIC PROJECTS Assyst Information Technologies Pvt Ltd., started in , (a group company of Assyst International Pvt Ltd,an CMMMI Level 3 company.) is an exclusive offshore software development center addressed to meet the I.T needs in India, the Middle East and the Asia-Pacific region We are providing necessary facilities to do the academic Projects for the students of all streams like B.E / B.Tech / MCA, M.Tech / M.Sc (IT & CS). Project assistance is available in the following languages (1).Net [ASP & C#] (2) Java (3) J2EE (4) J2ME (5) PHP (6) Android (7) SharePoint Project Details 1) Training in the opted stream will be provided before doing the project. 2) Students have to do the project by themselves. Guidance will be provided. 3) Time of Project is Monday-Friday. 4) Internal reviews will be conducted in between. 5) Duration of project will depends on the college norms Academic Project – Phases PHASE 1 – Training & Requirement Analysis PHASE 2 – DESIGN PHASE 3 – Coding PHASE 4 – Testing & Deployment PHASE 5 – Documentation NB: 1) Student has to submit a request letter from the HOD before the commencement of project. 2) A project guide will be assigned to the student. 3) Certificate will be issued after the final project presentation conducted internally.