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Hello professionals, We are providing Advanced SAP ABAP and BASIS on-line course with free SAP Software Installation in DoctorSAP, Jaya Nagar. We are providing the course with Real-time (Basis consultant) trainer. And also we are inviting all UG/PG (Any Degree), B.E., MCA, BCA, MSC&BSC (Computer Science) and MBA Professionals holders for bright career in SAP with 100 % job placements support in top MNC’s Company. SAP BASIS (Business Application Software Integrated Solution): Course Road Map ERP: Introduction to ERP • ERP Comparison• Architecture: R/3 Architecture• R/2 Architecture• Architecture comparison• SAP Instance• Work process Services• SAP Landscape: Multi system Landscape• Implementation Phases: Project preparation• Blue print• Realization• Testing• Go live and support• Installation (Windows / Linux) Pre Installation activities SAP Licensing: User Administration: Client Administration: TMS (Transport Management System) Landscape design CCMS (Computing Central Management System) Health check Spool Administration: Patch Management: Knowledge about OSS (Online Support Services Oracle database administration Solution Manager Database: Security: SAP ABAP/4(Advanced Business Application Programming): ABAP (Advanced Business Application Programming), and it is one of the many application-specific fourth-generation languages (4GLs).ABAP is a high-level programming language created by the German software company SAP. It is currently positioned, alongside the more recently introduced Java, as the language for programming the SAP Application Server, part of its Net Weaver platform for building business applications. The syntax of ABAP is somewhat similar to COBOL. ABAP Course Road Map:  INTRODUCTION TO SAP AND ABAP/4 LANGUAGE  REPORTING  ABAP OOPS  DIALOG PROGRAMMING  NTERFACE PROGRAMMING  SAP Scripts  SMARTFORMS  ADOBE FORMS / INTERACTIVE FORMS (PDF)  MISCELLANEOUS TOPICS  CROSS APPLICATION  IDOCS  ALE  BAPI and Business Objects  ENHANCEMENTS Eligibility: • Any Degree UG/PG(Computer Science) • C, C++, Java,.NET Developer. • Network Admin, System Admin. This SAP Basis Course will change your domain into next high level of technical in Industry. Job Placements and Assistance: • We are providing Job assistance for those who completed course in our institute. • And also we will assist for the placements. • We can do CV preparation for your carrier domain. • Here we also provide Course with Project preparation. • Placements we can assist you more than 20 companies. Project Training Programs and Features: DoctorSAP provides art of training in SAP with Domain of your Choice. We are unique in our own way… • Our SAP course is taught by experienced SAP Certified Professionals with real time experience in their respective fields. • We follow a step-by-step modular approach where students are trained in SAP and its usage in Real time Projects. • Our training program is very unique and enables students to be functional and Productive in their respective domains, using SAP. • Special attention on Interviews & Certification. • 100% Placement Assistance, referred by concerned Industry professionals. Thanks and Regards, Sunitha, 8792160688 Contact Address: DoctorSAP No:115/48, Eastend 'C' Main Road, 9th Block,Near Jayadeva Hospital, Jayanagar,Bangalore-560 069 Phone: 080-41106908, 080-41244555,080-41114385 Mobile: +91-9538954232, +91-8792160688 Admin for SAP Software Installation: HARI // 8904388095

HADOOP - Modules that we undertake: Introduction to Bigdata •Architecture of BD •3V Concept •Framework and Applications/Tools •Samples •What is Hadoop? •History of Hadoop •Building Blocks - Hadoop Eco - System •Who is behind Hadoop? •What Hadoop is good for and what it is not •HDFS Overview and Architecture •HDFS Installation •HDFS Use Cases •Hadoop FileSystem Shell •FileSystem Java API •Hadoop Configuration •Map/Reduce 2.0 •Pig •Hive •Map Reduce Workflows •Sqoop •HBase - The Hadoop DataBase •Big Data Analysis with R •Data Science •Application and Certification Introduction to Big Data and Hadoop •What is Big Data? •What are the challenges for processing big data? •What technologies support big data? •Distributed systems •What is Hadoop? •Why Hadoop? •History of Hadoop •Use Cases of Hadoop •Hadoop eco System •HDFS •Map Reduce •Statistics Understanding the Cluster •Typical workflow •Writing files to HDFS •Reading files from HDFS •Rack Awareness •5 daemons Best Practices for Cluster Setup •Best Practices •How to choose the right hadoop distribution •How to choose right hardware Cluster Setup •Install Pseudo cluster •Install Multi node cluster •Configuration •Setup cluster on Cloud - EC2 •Tools •Security •Benchmarking the cluster Routine Admin procedures •Metadata & Data Backups •Filesystem check (fsck) •File system Balancer •Commissioning and decommissioning nodes •Upgrading •Using DFSAdmin Monitoring the Cluster •Using the Web user interfaces •Hadoop Log files •Setting the log levels •Monitoring with Nagios Install,Configure and use •PIG •HIVE •HBASE •Flume and Sqoop •Zookeeper Contact Details Dotexe Technologies, #23, South Sivan Koil Street, Vadapalani Chennai–,Phone:+,

SADGURU TECHNOLOGIES - 04040154733 8179736190 1.Intro to Hadoop, BigData •What is BigData? •Parallel Computer vs. Distributed Computing •Brief history of Hadoop •RDBMS/SQL vs. Hadoop •Scaling with Hadoop •Intro to the Hadoop ecosystem •Optimal hardware and network configurations for Hadoop 2.HDFS – Hadoop Distributed File System •Linux File system options •NameNode architecture •Secondary NameNode architecture •DataNode architecture •Heartbeats, Rack Awareness, Health Check •Exploring the HDFS Web UI LAB #2: HDFS CMD Line 3.Beginning MapReduce •MapReduce Architecture •JobTracker/TaskTracker •Combiner •Partitioner •Shuffle and Sort •Exploring the MapReduce Web UI •Walkthrough of a simple Java MapReduce example •Use case: Word Count in MapReduce LAB #3: Running MapReduce in Java 4.Advanced MapReduce •Data Types and File Formats. •Driver, Mapper & Reducer Class Code. •Build Map & Reduce programs using Eclipse. •Serialization and File-Based Data Structures •Input/output formats •Counters •Run Map Reduce locally and on cluster. LAB #4: Java MapReduce API 5.Hive for Structured Data •Hive architecture •Hive vs. RDBMS •HiveQL and Hive Shell •Managing tables •Data types and schemas •Querying data •Partitions and Buckets •Intro to User Defined Functions LAB #5: Exploring Hive Commands 6.Overview of NoSql and HBase •Introduction of NoSql. •CAP Theorem. •HBase architecture •HBase versions and origins •HBase vs. RDBMS •Data Modeling •Column Families and Regions LAB #6: Intro to HBase Command Line 7.Working with Sqoop •Introduction to Sqoop •Import Data •Export Data •Sqoop Syntaxes •Database Connection Lab#7: Hands on exercise on Sqoop and mysql DB. Thanks & Regards, SADGURU TECHNOLOGIES H. No: 7-1-621/10, Flat No: 102, Sai Manor Apartment, S.R. Nagar Main Road, Hyderabad-500038, Landmark: Beside Umesh Chandra Statue, Approach Road Parallel to Main Road Mob: 91-8179736190, Ph: 040-40154733 USA: +1 (701) 660-0529

mso-bidi-theme-font:minor-latin">Apache Spark has become one of the key cluster-computing frame works in the world. Spark can be deployed in numereous ways like in machine Learning, Streaming data and graphic processing. Spark supports programming languages like Python, Scala, Java, and R. Apache Hadoop mso-bidi-theme-font:minor-latin"> is an open-source framework written in Java that allows us to store and process Big Data in a distributed environment, across various clusters of computers using simple programming constructs. To do this, Hadoop uses an algorithm called  Map Reduce mso-bidi-theme-font:minor-latin">, which divides the task into small parts and assigns them to a set of computers. Hadoop also has its own file system,  Hadoop Distributed File System (HDFS),  which is based on  Google File System (GFS). HDFS is designed to run on low-cost hardware. Apache Spark mso-bidi-theme-font:minor-latin"> is an open-source distributed cluster-computing framework. Spark is a data processing engine developed to provide faster and easy-to-use analytics than  Hadoop Ma pReduce. mso-bidi-theme-font:minor-latin;color:#222222;mso-ansi-language:EN-GB">Apache Spark in the big data industry is because of its in-memory data processing that makes it high-speed data processing engine compare to Map Reduce. Apache Spark has huge potential to contribute to Big data related business in the industry.  Apache Spark is a Big data processing interface which provides not only programming interface in the data cluster but also adequate fault tolerance and data parallelism. This open-source platform is efficient in speedy processing of massive datasets. Calibri;mso-bidi-theme-font:minor-latin;color:#222222"> 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-theme-font:minor-latin">  http://www.monstercourses.com/ mso-bidi-theme-font:minor-latin">USA:  + 1 772 777 1557 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin; color:red"> & +44 702 409 4077 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-theme-font:minor-latin"> 

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Online Training Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801 

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visit Schedules for PRACTICAL Data Science & Big Data /Data Analytics Classroom Training SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Contact us today for practical Data Science & Big Data /Data Analytics Online Training: Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit SequelGate Training Institute  Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Classroom Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 3 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Classroom Demo, please visi Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - CLASSROOM TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course.

SequelGate is one of the best training institutes for Data Science & Big Data /Data Analytics Training. We have been providing Classroom and Online Trainings and Corporate training. All our training sessions are COMPLETELY PRACTICAL. DATA SCIENCE & BIG DATA/ DATA ANALYTICS TRAINING WITH PROJECT - ONLINE TRAINING COURSE DETAILS: Real time training on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark/Scala, R –Language, and Python.This training course is exclusively designed addressing all practical aspects of Big Data concepts and implementing the real-time aspects. Material provided during the course. Data Science & Bigdata Analytics Overview HADOOP - Frame work for Big data HDFS Understanding the Cluster Map Reduce: PIG HIVE Hbase Cassandra Scala - Language for Data Science & Bigdata Scala Introduction &Environment Setup: Scala Basic Syntax Scala Data TYPES: Scala Variables: Scala Operators: Scala Conditions Scala Loops Scala Strings: Scala Regular Expressions: Scala Functions: Scala Arrays Scala Collections Scala Classes & Objects: SPark - Frame work for Data Science & Bigdata Analytics Spark Core Spark SQL Spark Streaming Spark GraphX SPARK Mlib STATISTICS STATISTICS: Descriptive & Inferential Statistics DESCRIPTIVE STATISTICS INFERENTIAL STATICS Data quality and outlier treatment Data Visualization. Cumulative Frequency plots Data Quality checking R–Lan/Python for Data Analytics Getting Started R Python Probability Graphics Machine Learning All Sessions are Completely Practical and Realtime. Duration: 4 Months, every day for 1.5 hours and all sessions are completely practical. One Real-time Project included in the course. For free Data Science Online Demo, please visit Office: (+91) 040 65358866 Mobile: (+91) 0 9030040801  Sai Anu Avenue, Street No #3, Patrika Nagar, HITEC City, Hyderabad - 81 (India).

Listed price is the starting offer bid, to secure buyout, offer 3.5k+. Collection of all of George R. R. Martin's "A Song of Ice and Fire" series works released so far, includes bonus collector map of Westeros. Delivery will be done by me in person if within 20-30 kilometers, payment collected upon verification of product by buyer.

HADOOP TRAINING INSTITUTE IN CHENNAI WITH PLACEMENT... Peridot systems is best software and hardware training institute in Chennai with guaranteed jobs...we provide real time training by working experts...You need any information about the course syllabus details call to papitha (8056102481)... Website: www.peridotsystems.in Peridot: • Real time training • 2 days demo classes • Complete placement guidance • Good environment • Flexible timings HADOOP SYLLABUS: • Map Reduce Workflows • Sqoop • HBase - The Hadoop DataBase • Big Data Analysis with R • Data Science • Application and Certification For more you need please contact, Contact information: 8056102481/9600063484, 044-42115526 Mail id: Papitha.v@peridotsystems.in Name: papitha TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar.

Hadoop Online Training in Depth, Writable and WritableComparable Level of coding. Technologies: Core Java, Hadoop, HDFS, Map Reduce, Advance HDFS, Advance MapReduce, Hive, Pig, Advanced Programming Pig, Sqoop, HBase, Flume, Oozie, Zookeeper, Kafka, Falcon, Log4J, MRUnit, POC's, Hadoop Installation in Linux, All other Ecosystem Installation in Linux. Cloudera and Hortonworks. Advanced F/W: Scala, SPARK, Storm, Mahout, R, Matlab Call me + www.hadoopexpert.in Note: This online Training is not like other online training(like entire training on PPT), there will be no PPT's only technical coding in depth and I can say its more technical, I have successfully completed 42 batches online from last 16 months on Hadoop. Successfully completed 8 bactches on Scala, Spark. Prerequisites: Basic Knowledge on Core Java. (If don't know then we have a separate classes for Java) Basic Knowledge on SQL. Look into the course content and compare with others you will see the quality. I can only say one statement "Lets Hadoop.......!"

Oracle SOA Suite 11g Basic Concepts and Architecture •Overview of service-oriented architecture (SOA) • Overview XML, XSD, X Path, XSLT, SOAP, WSDL, UDDI •The basic concepts of Oracle BPEL Process Manager • BPEL Process Manager components Installation •Overview of the fusion architecture •Overview of the Web logic server •Overview of the soa server and bam server and Meta data schemas. •Creating the soa domain •Creating the soa server and bam server •Installation steps soa suite 11g •Preparing the start and stop scripts for soa server •Start and stop the admin server Interaction Patterns •Orchestrate services through BPEL for a Synchronous Service •Orchestrate services through BPEL for One-way. •Orchestrate services through BPEL for an Asynchronous Service SCA Architecture •Description of Composite xml. •Source code Explanation of BPEL File. •Source code Explanation WSDL File. •Source code Explanation of Component Type File. Hello World BPEL Process •Synchronous Hello World process. •Explanation of Below Activities. oReceive Activity Syntax. oInvoke Activity Syntax. oReply Activity Syntax. oAssign Activity. oBPEL Variables. oRelationship between BPEL Variables and WSDL messages. oDeploying the application Creation the connection for SOA server. Major & Minor Application Version. Compilation Build Deployment Tab SOA oApplication Testing in the SOA Server Parallel Processing and Conditional Branching •Processing with Parallel Flows oUsing Flown activity oUsing Flow activity •Conditional Branching oSwitch Activity oLimitation of the Receive activity oPick activity to implement the timeouts oPick activity to receive inputs from multiple operations into a single BPEL Fault Handling and Exception Management •Fault types oSystem Faults oBusiness Faults •Fault handling Process based fault handling System fault handling •For synchronous services •For asynchronous Business Faults oFor synchronous services oFor asynchronous Policy based fault handling Transformation Services •Transformation Service • Map Testing and Analysis • XSLT Mapping Tool Adapters and Accessing Adapter from BPEL •Adapter Framework •File Adapter oRead Operation oWrite Operation oSync Read Operation oList of files. •FTP Adapter oGet a file oPut a file oSynchronous get file oList of files •Advanced Queuing •Database Adapters oCalling stored Procedure oCRUD operations Insert Select Update Delete oRead Poll oCustom sql •JMS adapters. oJMS Producer oJMS Consumer •Oracle Apps Adapter introduction •Fault handling in the ADAPTERS •Transaction handling in Adapters Mediators •Introduction to mediators. •Working with mediators. •Event driven networks via mediator •Schematron files, parallel flows, sequential flows •Fault handling in the Mediator •Transaction handling in the Mediators Human Workflow and Work list Application •Human Workflow Service Concepts •Features of workflow service •Workflow service components •Modeling Workflows •Work list Application Features Business Rule and Decision Tables •Introduction to Business Rules. •Using Business Rules and Decision tables in BPEL Working with BAM •Oracle BAM Server •Oracle BAM Application •Features of Oracle BAM Application •Defining Data Object •Defining BAM Dashboard •Configuring BAM Adapter on WebLogic •Adding BAM Connection to application OSB WSDL Preparation and uploading into SBConsole Business service development Proxy service development Fault handling Message flows in the OSB OSB Faqs AIA AIA fundamentals CDMs AIA components ABM EBO EBM ABCS EBS EBF ABCS preparations EBS preparations One PIP explanation Other Topics SOA Suite 10g examples Migration from 10g to 11g OSB basics AIA Basics Dynamic partner link Correlations Preference variables DVMs XRef Tables ANT scripts MDM MDM upload scripts SOA Testing. SOA Production support. SOA Faqs. Resume Preparation help. SOA project explanation. Other Courses Offered by Sadguru Technologies: Web Logic & SOA Administration Oracle Service Bus (OSB) Oracle Application Integration Architecture (AIA) Oracle Business Process Management (BPM) Oracle Application Development Framework (ADF) Oracle Applications Framework (OAF) Web Sphere Application Server (WAS) Oracle Billing & Revenue Management (BRM) Sales Force CRM, Siebel CRM Business Analyst (BA) JAVA Oracle Identity Access Management (OIAM) Oracle Data Integrator (ODI) Web Center Oracle Apps (Functional, Technical) Contact at SADGURU TECHNOLOGIES H. No: , Flat No: 102, SaiManor Apartment, S.R. Nagar Main Road, Hyderabad-, Landmark: Beside Umesh Chandra Statue Mob: 91-, Ph: 040-

ICD-10-CM Training: Online Synopsis: On October a key element of the data set of the USA healthcare system will undergo a major transformation. The bill for ICD implementation is passed a long back and finally the mandate implementation date would be Oct . The transitions will most of the USA Healthcare segment including Payers, Providers,Medical Coding and Billing Company etc. In order to sustain the futuristic need of healthcare reform, the coder should acquire the competency with the ICDICD-10 Foundation course low cost online course for experienced coder to build the coding expertise in ICD-10 Key Objectives: √ Understand the basics of ICD √ Understand and identify the technological changes in the code sets. √ Gain experience to map the ICD √ Improve the clinical documentation to am √ Gain the insight of the business impacts and opportunities. √ Build expertise to code the case using ICD √ Identify the risk area, assessment and neutrality Key Highlights: √ Cost: Low Cost (R.S -/-) √ Mode: Online, Module √ Flexible Time schedule (1 month to 6 months) √ Designed for Professional √ Comprehensive coverage of the topics. √ Reference book: ICD-10 √ Detail Project and Test. √ On-line support (query resolution). Course Rational: Term and Conditions: 1.) The professional must complete 7 foundation module, and 1 project study to complete the course. 2.) The minimum time to complete the course is 4 weeks after registration. However the maximum time is 6 months (24 weeks). 3.) There is a module test (by online/e-mail) after each module. At a time maximum of 2modules can be done together. After successful completion of each module, the next module would be assigned automatically. The minimum passing score is 60 percent for each of the module. 4.) Project: After completed module, the coder must submit one project (2-3 pages,approaches or report based upon the ICD-10) to complete the foundation course. 5.) Soft book (PDF Format) and AAPC testing sample question will be provided. 6.) Fee - /- should be paid in advance for the course.

Oracle SOA Suite 11g Basic Concepts and Architecture •Overview of service-oriented architecture (SOA) • Overview XML, XSD, X Path, XSLT, SOAP, WSDL, UDDI •The basic concepts of Oracle BPEL Process Manager • BPEL Process Manager components Installation •Overview of the fusion architecture •Overview of the Web logic server •Overview of the soa server and bam server and Meta data schemas. •Creating the soa domain •Creating the soa server and bam server •Installation steps soa suite 11g •Preparing the start and stop scripts for soa server •Start and stop the admin server Interaction Patterns •Orchestrate services through BPEL for a Synchronous Service •Orchestrate services through BPEL for One-way. •Orchestrate services through BPEL for an Asynchronous Service SCA Architecture •Description of Composite xml. •Source code Explanation of BPEL File. •Source code Explanation WSDL File. •Source code Explanation of Component Type File. Hello World BPEL Process •Synchronous Hello World process. •Explanation of Below Activities. oReceive Activity Syntax. oInvoke Activity Syntax. oReply Activity Syntax. oAssign Activity. oBPEL Variables. oRelationship between BPEL Variables and WSDL messages. oDeploying the application Creation the connection for SOA server. Major & Minor Application Version. Compilation Build Deployment Tab SOA oApplication Testing in the SOA Server Parallel Processing and Conditional Branching •Processing with Parallel Flows oUsing Flown activity oUsing Flow activity •Conditional Branching oSwitch Activity oLimitation of the Receive activity oPick activity to implement the timeouts oPick activity to receive inputs from multiple operations into a single BPEL Fault Handling and Exception Management •Fault types oSystem Faults oBusiness Faults •Fault handling Process based fault handling System fault handling •For synchronous services •For asynchronous Business Faults oFor synchronous services oFor asynchronous Policy based fault handling Transformation Services •Transformation Service • Map Testing and Analysis • XSLT Mapping Tool Adapters and Accessing Adapter from BPEL •Adapter Framework •File Adapter oRead Operation oWrite Operation oSync Read Operation oList of files. •FTP Adapter oGet a file oPut a file oSynchronous get file oList of files •Advanced Queuing •Database Adapters oCalling stored Procedure oCRUD operations Insert Select Update Delete oRead Poll oCustom sql •JMS adapters. oJMS Producer oJMS Consumer •Oracle Apps Adapter introduction •Fault handling in the ADAPTERS •Transaction handling in Adapters Mediators •Introduction to mediators. •Working with mediators. •Event driven networks via mediator •Schematron files, parallel flows, sequential flows •Fault handling in the Mediator •Transaction handling in the Mediators Human Workflow and Work list Application •Human Workflow Service Concepts •Features of workflow service •Workflow service components •Modeling Workflows •Work list Application Features Business Rule and Decision Tables •Introduction to Business Rules. •Using Business Rules and Decision tables in BPEL Working with BAM •Oracle BAM Server •Oracle BAM Application •Features of Oracle BAM Application •Defining Data Object •Defining BAM Dashboard •Configuring BAM Adapter on WebLogic •Adding BAM Connection to application OSB WSDL Preparation and uploading into SBConsole Business service development Proxy service development Fault handling Message flows in the OSB OSB Faqs AIA AIA fundamentals CDMs AIA components ABM EBO EBM ABCS EBS EBF ABCS preparations EBS preparations One PIP explanation Other Topics SOA Suite 10g examples Migration from 10g to 11g OSB basics AIA Basics Dynamic partner link Correlations Preference variables DVMs XRef Tables ANT scripts MDM MDM upload scripts SOA Testing. SOA Production support. SOA Faqs. Resume Preparation help. SOA project explanation. Other Courses Offered by Sadguru Technologies: Web Logic & SOA Administration Oracle Service Bus (OSB) Oracle Application Integration Architecture (AIA) Oracle Business Process Management (BPM) Oracle Application Development Framework (ADF) Oracle Applications Framework (OAF) Web Sphere Application Server (WAS) Oracle Billing & Revenue Management (BRM) Sales Force CRM, Siebel CRM Business Analyst (BA) JAVA Oracle Identity Access Management (OIAM) Oracle Data Integrator (ODI) Web Center Oracle Apps (Functional, Technical) Contact at SADGURU TECHNOLOGIES H. No: , Flat No: 102, SaiManor Apartment, S.R. Nagar Main Road, Hyderabad-, Landmark: Beside Umesh Chandra Statue Mob: 91-, Ph: 040- Email:

Oracle SOA Suite 11g Basic Concepts and Architecture Overview of service-oriented architecture (SOA) Overview XML, XSD, X Path, XSLT, SOAP, WSDL, UDDI The basic concepts of Oracle BPEL Process Manager BPEL Process Manager components Installation Overview of the fusion architecture Overview of the Web logic server Overview of the soa server and bam server and Meta data schemas. Creating the soa domain Creating the soa server and bam server Installation steps soa suite 11g Preparing the start and stop scripts for soa server Start and stop the admin server Interaction Patterns Orchestrate services through BPEL for a Synchronous Service Orchestrate services through BPEL for One-way. Orchestrate services through BPEL for an Asynchronous Service SCA Architecture Description of Composite xml. Source code Explanation of BPEL File. Source code Explanation WSDL File. Source code Explanation of Component Type File. Hello World BPEL Process Synchronous Hello World process. Explanation of Below Activities. Receive Activity Syntax. Invoke Activity Syntax. Reply Activity Syntax. Assign Activity. BPEL Variables. Relationship between BPEL Variables and WSDL messages. Deploying the application Creation the connection for SOA server. Major & Minor Application Version. Compilation Build Deployment Tab SOA Application Testing in the SOA Server Parallel Processing and Conditional Branching Processing with Parallel Flows Using Flown activity Using Flow activity Conditional Branching Switch Activity Limitation of the Receive activity Pick activity to implement the timeouts Pick activity to receive inputs from multiple operations into a single BPEL Fault Handling and Exception Management Fault types System Faults Business Faults Fault handling Process based fault handling System fault handling For synchronous services For asynchronous Business Faults For synchronous services For asynchronous Policy based fault handling Transformation Services Transformation Service Map Testing and Analysis XSLT Mapping Tool Adapters and Accessing Adapter from BPEL Adapter Framework File Adapter Read Operation Write Operation Sync Read Operation List of files. FTP Adapter Get a file Put a file Synchronous get file List of files Advanced Queuing Database Adapters Calling stored Procedure CRUD operations Insert Select Update Delete Read Poll Custom sql JMS adapters. JMS Producer JMS Consumer Oracle Apps Adapter introduction Fault handling in the ADAPTERS Transaction handling in Adapters Mediators Introduction to mediators. Working with mediators. Event driven networks via mediator Schematron files, parallel flows, sequential flows Fault handling in the Mediator Transaction handling in the Mediators Human Workflow and Work list Application Human Workflow Service Concepts Features of workflow service Workflow service components Modeling Workflows Work list Application Features Business Rule and Decision Tables Introduction to Business Rules. Using Business Rules and Decision tables in BPEL Working with BAM Oracle BAM Server Oracle BAM Application Features of Oracle BAM Application Defining Data Object Defining BAM Dashboard Configuring BAM Adapter on WebLogic Adding BAM Connection to application Other Topics SOA Suite 10g examples Migration from 10g to 11g OSB basics AIA Basics Dynamic partner link Correlations Preference variables DVMs XRef Tables ANT scripts MDM MDM upload scripts SOA Testing. SOA Production support. SOA Faqs. Resume Preparation help. SOA project explanation. Other Courses Offered by Sadguru Technologies: Web Logic & SOA Administration Oracle Service Bus (OSB) Oracle Application Integration Architecture (AIA) Oracle Business Process Management (BPM) Oracle Application Development Framework (ADF) Oracle Applications Framework (OAF) Web Sphere Application Server (WAS) Oracle Billing & Revenue Management (BRM) Sales Force CRM, Siebel CRM Business Analyst (BA) JAVA Oracle Identity Access Management (OIAM) Oracle Data Integrator (ODI) Web Center Oracle Apps (Functional, Technical) Contact at SADGURU TECHNOLOGIES H. No: 7-1-621/10, Flat No: 102, SaiManor Apartment, S.R. Nagar Main Road, Hyderabad-500038, Landmark: Beside Umesh Chandra Statue Mob: 91-8179736190, Ph: 040-40154733 

Data science online training, students will learn R programming, spark, machine learning using Python, map reduce concepts offers real time projects We have an outstanding trainers who provide better growth for your career..!!!

mso-bidi-theme-font:minor-latin">Apache Spark has become one of the key cluster-computing frame works in the world. Spark can be deployed in numereous ways like in machine Learning, Streaming data and graphic processing. Spark supports programming languages like Python, Scala, Java, and R. Apache Hadoop mso-bidi-theme-font:minor-latin"> is an open-source framework written in Java that allows us to store and process Big Data in a distributed environment, across various clusters of computers using simple programming constructs. To do this, Hadoop uses an algorithm called  Map Reduce mso-bidi-theme-font:minor-latin">, which divides the task into small parts and assigns them to a set of computers. Hadoop also has its own file system,  Hadoop Distributed File System (HDFS),  which is based on  Google File System (GFS). HDFS is designed to run on low-cost hardware. 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-theme-font:minor-latin">  http://www.monstercourses.com/ mso-bidi-theme-font:minor-latin">USA:  + 1 772 777 1557 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin; color:red"> & +44 702 409 4077 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-theme-font:minor-latin">