Hadoop development

Online Training on Big Data & Hadoop Development in Bangalore Fees: Yes, it s AMAZING DEAL, at cheapest price Registration Link: http://bit.ly/2dbtVAz if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

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Online Training on Big Data & Hadoop Development in Delhi Fees: Yes, it s AMAZING DEAL, at cheapest price if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

Online Training on Big Data & Hadoop Development in Bangalore Fees: Yes, it s AMAZING DEAL, at cheapest price if any issues then simply send email Contact Details: Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

Amazing Deal to Become Master in:Big Data & Hadoop Development in Bangalore Fees: 3000/- Yes, it s AMAZING DEAL, at cheapest price Dates: 15th & 16th April 2017 Registration Link: if any issues then simply send email Contact Details: Skype ID: GOITSTORE Whatsapp: +91 8801203085 Promises: * We will help all the participants in getting clarifications on any topic of course content mentioned even after this Weekend Sessions. Support period is till 1st June 2017 (or upto 6 Months extended support from the date of joining), over the weekends. * We will mentor and train you with objective of every thing is practical * We help the candidate in preparing Resume & Give guidance on how to attend interviews Agenda: Mr. Upendra would like to share knowledge on BIG DATA & Hadoop Development during weekend session. At the end of the sessions participants will be able to: * Install Hadoop (GOITSTORE pre built packaged Apache Hadoop on Ubuntu) * Get command over the HDFS Architecture & HDFS / Hadoop Commands * Create tables and write HIVE SQL queries to explore large volumes * Write PIG programs to handle various ETL (Extract Transform Load) scenario s * Bring REAL TIME STREAMING data using FLUME from twitter * Import or Export tables from MySQL Database both locally and from any cloud based or web based servers. * Write Map Reduce code to handle some specific scenario s * Prepare Resume & Handle interviews as per local requirements. We are looking forward for your participation in our Director Mr. Upendra Dharmavarapu s Hadoop Development session. this one you use

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Hadoop Develoment Course Contents: Big Data Concepts: 1.What is Big Data 2.How it differs from traditional data 3.Characteristics of big data Hadoop: 1.Overview 2.Components of Hadoop 3.Performance and scalability 4.Hadoop in the context of other data stores 5.Differences between noSQL and Hadoop Unix: 1.installation 2.Basic commands 3.Users and groups Hadoop installations: 1.Standalone mode 2.Pseudo distributed mode HDFS: 1.Architecture 2.Configuring HDFS 3.Blocks, name node and data nodes 4.Job tracker and task tracker 5.Hadoop fs command line interace 6.Basic file system operations & file system api 7.Executing default map reduce examples in hadoop MapReduce: 1.What is MapReduse and how it works 2.Configuring eclipse with Hadoop 3.Mapper, reducer and driver 4.Serialization 5.Custom writable implementation examples in java 6.Input formats 7.Output formats 8.Counters 9.Writing custom counters in java 10.Streaming 11.Sorting (partial, total and secondary) 12.Joins (map side and reduce side joins) 13.No reducer programs 14.Programs in map reduce Hive 1.What is Hive 2.How is data organizes in Hive 3.Data units 4.Data types 5.Operators and functions 6.Creation of tables and partitions 7.Loading the data into HDFS 8.Partition based query 9.Joins 10.Aggregations 11.Multi Tables file inserts 12.Arrays, maps, union all 13.Altering and dropping tables 14.Custom map reduce scripts HBase 1.Zookeeper 2.Data organization in hbase 3.Creating, altering, dropping, inserting the data 4.Joins, Aggregations 5.Custom map reduce scripts 6.Integration of HBase, hive and Hadoop Hadoop Adminstration: The following are common from the above course BigData concepts, Hadoop, unix, Hadoop installations, HDFS. Mapreduce (introduction only) Extra concepts: 1.Hadoop fully distributed mode installation 2.Execution of map reduce programs in fully distributed mode 3.Job scheduling with oozie 4.Monitoring with nagios 5.Logging with Flume 6.Data transfer from other RDBMS using Sqoop Contact us for more details ELEGANT IT SERVICES

Blue Ocean Learning Provides the Hadoop/Big Data Development training in Bangalore, Coimbatore and Pune. The Hadoop Course offer by BOL Makes You Clear in the Technology to Get Place in Highly Reputed Companies all over the World. Contact Us for your training requirements. Blue Ocean Learning #883, 6th Cross, 6th Block, Near Koramangala Club, Koramangala, Bangalore - 560 095 Phone: 41211601/2/3/4

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SivaSoft (Training & Development) is An ISO 9001:2008 CERTIFIED Company and Expertise in sivasoft . Our team designed the course modules based on the latest trends and forecasting students careers. Our classes are schedule to suit a student..

Hadoop Big Data Training Institute In Chennai - What is Big Data? Everyday, we create quintillion bytes of large data that to 90% of the data in the world today has been created in the last two years only. According to IBM, 80% of data captured today are unstructured, from sensors used to gather climate information, posts to social media sites, digital pictures and videos. What does Hadoop solve? Organizations are discovering that important predictions can be made by sorting through and analyzing. Big Data. However, since 80% of this data is "unstructured", it must be formatted (or structured) in a way that makes it suitable for data mining and subsequent analysis.Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Pre-requisites Some of the prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. We provide a complimentary Course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training. This course helps you brush up your Java Skills needed to write Map Reduce programs. Course Objectives After the completion of the Big Data and Hadoop Course at JPA Solutions, you should be able to: •Master the concepts of Hadoop Distributed File System •Setup a Hadoop Cluster •Write MapReduce Code in Java •Perform Data Analytics using Pig and Hive •Understand Data Loading Techniques using Sqoop and Flume •Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing •Have a good understanding of ZooKeeper service •Use Apache Oozie to Schedule and Manage Hadoop Jobs •Implement best Practices for Hadoop Development and Debugging •Develop a working Hadoop Architecture •Work on Big Data Analytics and gain Hands on Project Experience Venue Details: Peridot Systems Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai. Tamil Nadu - .

The Big Data and Hadoop training course from H2KInfosys is designed to enhance your knowledge and skills to become a successful Hadoop developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases. Course Objectives. Master the concepts of HDFS and MapReduce framework. Understand Hadoop 2.x Architecture. Setup Hadoop Cluster and write Complex MapReduce programs. Implement HBase and MapReduce integration. Implement Advanced Usage and Indexing. Implement best practices for Hadoop development. Work on a real life Project on Big Data Analytics Significant features of our Hadoop online training class: -> Instructor led online interactive session on Hadoop -> A detailed explanation and practical examples with special emphasis on HDFS and MapReduce -> Recorded session to make review easy -> Gain Real time Experience -> Study material to make the learning experience complete -> Offline support from the faculty via chat or email for clarifications -> Resume, Job and Interview guidance -> core Java class videos are also free -> Pay on time fee & attend classes multiple times until student is comfortable with every topic For more details: Contact No:770-777-1269 5450 McGinnis Village Pl #103, Alpharetta, GA 30005, USA

Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01

HADOOP DEVELOPER TRAINING IN CHENNAI, PERIDOT SYSTEMS, 100%JOB Peridot systems provide both offline and online mode of training. To join please contact ruban(9952010141).We will provide you free demo classes. Trainers are MNC working professionals. We will give you 100% job assurance Pre-requisites: To learn hadoop developer, core java and good analytical skills are needed. We provide a complimentary Course “Java Essentials for Hadoop” to all learners to brush up java skills needed to write Map reduce Programs. Target learners: If you are interested in Architecture & Fundamentals, Map reduces Programming and real time Analytics then you can be a Hadoop developer. Content: Introduction Hadoop Motivation Basic concepts and HDFS Map Reduce Hadoop cluster and ecosystems Writing a Map Reduce Program using Java Writing a Map Reduce Program Using Streaming Unit Testing Map Reduce Programs Unit Testing Map Reduce Programs Practical Development Tips and Techniques Practical Development Tips and Techniques Practical Development Tips and Techniques Common Map Reduce Algorithms Joining Data Sets in Map Reduce Jobs Integrating Hadoop into the Enterprise Workflow An Introduction to Hive, Imapala, and Pig An Introduction to Oozie Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141

HADOOP DEVELOPER TRAINING IN CHENNAI, PERIDOT SYSTEMS, 100%JOB Peridot systems provide both offline and online mode of training. To join please contact ruban().We will provide you free demo classes. Trainers are MNC working professionals. We will give you 100% job assurance Pre-requisites: To learn hadoop developer, core java and good analytical skills are needed. We provide a complimentary Course “Java Essentials for Hadoop” to all learners to brush up java skills needed to write Map reduce Programs. Target learners: If you are interested in Architecture & Fundamentals, Map reduces Programming and real time Analytics then you can be a Hadoop developer. Content: Introduction Hadoop Motivation Basic concepts and HDFS Map Reduce Hadoop cluster and ecosystems Writing a Map Reduce Program using Java Writing a Map Reduce Program Using Streaming Unit Testing Map Reduce Programs Unit Testing Map Reduce Programs Practical Development Tips and Techniques Practical Development Tips and Techniques Practical Development Tips and Techniques Common Map Reduce Algorithms Joining Data Sets in Map Reduce Jobs Integrating Hadoop into the Enterprise Workflow An Introduction to Hive, Imapala, and Pig An Introduction to Oozie Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – Selvakumar –

Hadoop Trainer Jobs in Chennai | Part Time Hadoop Trainer Required @ IICT, Chennai. Description: IICT Infotech is the Training and Development Firm which was running more than 5+ years in Chennai. We are all working in various companies and providing high-class training to the students. IICT Infotech is the Best Institute for SOFTWARE TRAINING. We are one of the premier institutes which provide software training with a real time experienced faculty. We distinguish ourselves by providing the most advanced versions of technologies with flexibility and reliability. Hadoop Trainer Job in Chennai [IICT Infotech] Immediate Job opening in Hadoop Real Time Trainer Part Time Job vacancy in IICT Infotech. IICT is very good booming company as well as Best Real time training institute in Chennai. Above 30 Trainers working in IICT and more than 500+ students & Employees trained by them. Trainers are all working in MNC company and they give real time training in their(students or employees) wanted subjects. Education: (UG - Any Graduate - Any Specialization),OR (PG - Post Graduation) Experience in teaching,training the Hadoop Technologies in real time role. Enhancing skills of the trainees. Flexible Timings (Weekdays / Weekends) Salary No Constrain. Providing them support for Technical interview preparation Hands-on programming skills in Hadoop Domain. Industry: IICT Infotech Experience: 3 to 5 yrs.in Hadoop domain Education / Teaching / Training Functional Area: Training/ Teaching Role Category: Trainers Trainer Keyskills: Hadoop Anybody will know or working in Hadoop, they will walk in anytime to the given address. No., Third Floor, First Cross Street, Newcolony, Chrompet, Chennai- mins walk from Chrompet railway station and Bus stop. Once you reach Chromepet bus stop or Railway Station ask for Chrompet Police Station. Once you reach Police Station ask for Sri Krishna Sweets and Dr.Batra's. Before Sri Krishna Sweets one small road turns once you turn right side Second Building (Third floor) is IICT (White Colour Building). Related Tags: Part time Hadoop Trainer in Chennai, Required Hadoop Trainer in Chennai, Wanted Part time Hadoop Trainer in Chennai, Urgent Need Hadoop Trainer in Chennai, Urgent Wanted Hadoop Trainer in Chennai, Urgently Required Hadoop Trainer in Chennai, Urgently Wanted Part time Hadoop Trainer in Chennai, Urgent Opening for Hadoop Trainer in Chennai, Part time Hadoop Trainer in T Nagar, Wanted Part time Hadoop Trainer in Chrompet, Chennai, Trainee Jobs, Hadoop Corporate Jobs, Hadoop Corporate trainers, Jobs in Hadoop Corporate, Hadoop Corporate trainer Jobs, Hadoop Corporate Trainer, Part Time Hadoop Corporate Trainer, Part Time Hadoop Corporate, Hadoop Corporate Training,Hadoop Corporate Openings, Openings for Hadoop Corporate, Urgent Openings for Hadoop Corporate, Vacany for Hadoop Corporate, Immediate opening for Hadoop Corporate, Part-time Trainer required, Opening for Hadoop Corporate in chennai, Urgent Openings for Hadoop Corporate Job, Trainee Jobs, Hadoop jobs, Hadoop trainers, jobs in Hadoop, Hadoop traner jobs, Hadoop trainer, Hadoop training, Hadoop openings, Openings for Hadoop, Best Hadoop training in Chennai, No.1 Hadoop Training institute in Chennai, Top Hadoop Training Institute in Chennai, Hadoop Training Center in Chennai, Best Hadoop training institutes in Chennai, Excellent Hadoop Training center in Chennai, Best Hadoop Training in Chennai with placement, Hadoop Jobs in Chennai, Online Trainer Jobs in Chennai.

Hadoop Big Data Training Program Leading Big Data Hadoop Training Institute in Hyderabad, India. Join Today! ________________________________________ Internet marketing saw a huge change with the emergence of Big Data. Huge volumes of data collected from numerous sources are being used to create and develop marketing strategies that have the competitive edge. But how can one manually consolidate and correlate literarily millions of units of data. This brought about the development of Best Institute for Hadoop in hyderabad An open source framework, Hadoop allows you to store and process data in large scale. Developed by Doug Cutting and Mike Cafarella, this software is a registered under the Apache Software Foundation. The programming language used in Java, though in some places user interfaces such as like Pig Latin and a SQL variant have found use. The various modules of a Hadoop framework include Hadoop Distributed File System (HDFS), Hadoop Common, Hadoop YARN and Hadoop MapReduce. Hadoop is now being used by Facebook, Amazon, Yahoo and other major websites to cluster and consolidate all the data they collect. When you take up a Big Data training online program, you will be able to study the various facets of this open source program. You can also learn how to use this software framework to consolidate data and convert it into measurable information. Learning Big Data Hadoop training in Hyderabad will give you a competitive edge in the job market as data will always be in demand, thanks to the growing network of Internet and its related branches. Some of the topics that you will cover when you take up a Big Data Training program include concepts of Hadoop Distributed File System, MapReduce framework, MapReduce, Data Loading Techniques and the other features of this software program. You will also learn to analyze data using techniques such as Pig and Hive. The other components of the training program will probably include Hadoop administrative and developer tasks. You will also learn the basics of HBase and Hive architecture. This training will prove useful for developers, administrators as well as data analysts. When you are well versed in the basic functionalities of this software program, you will be able to analyze loads of data to find reliable information. So, who can study this program? Software professionals, software testers, and even managers can take up this program to develop specialized skills. You should have a good working knowledge of Java in order to study Hadoop Big Data Training Now that you know the importance of Big Data, take up a Big Data training online program and improve your working knowledge and chances for a better job opportunity. To know more about the syllabus and training program from Hadoop Training in Hyderabad Ameerpet visit http://hadooptraininginhyderabad.co.in/ Contact Hadoop Training in Hyderabad Address: Flat No. 302, Annapurna Block, Ameerpet, Hyderabad 16 Phone: +91-

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HADOOP trainers Required in elegant it services good salary in partime • Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • 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 Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers,

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Hadoop administration training course is a comprehensive study of Big Data Administration using Hadoop. The course topics include Introduction to Hadoop and its Architecture, MapReduce and HDFS and MapReduce Abstraction. It further covers best practices to configure, deploy, administer, maintain, monitor and troubleshoot a Hadoop Cluster. Through this course, our trainees are going to be able to acquire those challenging positions that are opening up rapidly in the Big Data field. - Hadoop Developer Course Objectives *Comprehend internals of HDFS and MapReduce. * Learn how to write MapReduce code * Comprehend Hadoop debugging, development, and execution of workflows and algorithms * leverage Hive, Oozie, Pig, Flume, Sqoop, and other Hadoop ecosystem projects * Comprehend Advanced Hadoop API topics. * Monitor and maintain hundreds of servers

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Transactions aren�t the only goal, creating knowledge-sharing networks is, based on the insights gained from big data analytics. �Big data is having an impact on organizations� reaction time to supply chain issues (41%), increased supply chain efficiency of 10% or greater (36%), and greater integration across the supply chain (36%). �Embedding big data analytics in operations leads to a 4.25x improvement in order-to-cycle delivery times, and a 2.6x improvement in supply chain efficiency of 10% or greater. �Big data has the potential to provide improved traceability performance and reduce the thousands of hours lost just trying to access, integrate and manage product databases that provide data on where products are in the field needing to be recalled or retrofitted. �Increasing supplier quality from supplier audit to inbound inspection and final assembly with big data. �The advertised salary for technical professionals with Big Data expertise is $ �net of bonuses and additional compensation. 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FOR FREE DEMO contact us at: Phone/WhatsApp: +91-(850) 012-2107 HADOOP ONLINE TRAINING BY REALTIME CORPORATE PROFESSIONALS Hadoop Course Content (we can customize the course content as per your requirement) HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice Phone/WhatsApp: +91-(850) 012-2107

BIGDATA –HADOOP REALTIME TRAINING,JOB SUPPORT,INTERVIEW SUPPORT BY HANDS-ON EXPERTS Phone/WhatsApp: +91-(850) 012-2107 Course Content HADOOP Using Cloudera Development & Admin Course Introduction to BigData, Hadoop:- • Big Data Introduction • Hadoop Introduction • What is Hadoop? Why Hadoop? • Hadoop History? • Different types of Components in Hadoop? • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on… • What is the scope of Hadoop? Deep Drive in HDFS (for Storing the Data):- • Introduction of HDFS • HDFS Design • HDFS role in Hadoop • Features of HDFS • Daemons of Hadoop and its functionality • Name Node • Secondary Name Node • Job Tracker • Data Node • Task Tracker • Anatomy of File Wright • Anatomy of File Read • Network Topology • Nodes • Racks • Data Center • Parallel Copying using DistCp • Basic Configuration for HDFS • Data Organization • Blocks and • Replication • Rack Awareness • Heartbeat Signal • How to Store the Data into HDFS • How to Read the Data from HDFS • Accessing HDFS (Introduction of Basic UNIX commands) • CLI commands MapReduce using Java (Processing the Data):- • Introduction of MapReduce. • MapReduce Architecture • Data flow in MapReduce • Splits • Mapper • Portioning • Sort and shuffle • Combiner • Reducer • Understand Difference Between Block and InputSplit • Role of RecordReader • Basic Configuration of MapReduce • MapReduce life cycle • Driver Code • Mapper • and Reducer • How MapReduce Works • Writing and Executing the Basic MapReduce Program using Java • Submission & Initialization of MapReduce Job. • File Input/output Formats in MapReduce Jobs • Text Input Format • Key Value Input Format • Sequence File Input Format • NLine Input Format • Joins • Map-side Joins • Reducer-side Joins • Word Count Example • Partition MapReduce Program • Side Data Distribution • Distributed Cache (with Program) • Counters (with Program) • Types of Counters • Task Counters • Job Counters • User Defined Counters • Propagation of Counters • Job Scheduling PIG:- • Introduction to Apache PIG • Introduction to PIG Data Flow Engine • MapReduce vs PIG in detail • When should PIG used? • Data Types in PIG • Basic PIG programming • Modes of Execution in PIG • Local Mode and • MapReduce Mode • Execution Mechanisms • Grunt Shell • Script • Embedded • Operators/Transformations in PIG • PIG UDF’s with Program • Word Count Example in PIG • The difference between the MapReduce and PIG SQOOP:- • Introduction to SQOOP • Use of SQOOP • Connect to mySql database • SQOOP commands • Import • Export • Eval • Codegen and etc… • Joins in SQOOP • Export to MySQL HIVE:- • Introduction to HIVE • HIVE Meta Store • HIVE Architecture • Tables in HIVE • Managed Tables • External Tables • Hive Data Types • Primitive Types • Complex Types • Partition • Joins in HIVE • HIVE UDF’s and UADF’s with Programs • Word Count Example HBASE:- • Introduction to HBASE • Basic Configurations of HBASE • Fundamentals of HBase • What is NoSQL? • HBase DataModel • Table and Row • Column Family and Column Qualifier • Cell and its Versioning • Categories of NoSQL Data Bases • Key-Value Database • Document Database • Column Family Database • SQL vs NOSQL • How HBASE is differ from RDBMS • HDFS vs HBase • Client side buffering or bulk uploads • HBase Designing Tables • HBase Operations • Get • Scan • Put • Delete MongoDB:-- • What is MongoDB? • Where to Use? • Configuration On Windows • Inserting the data into MongoDB? • Reading the MongoDB data. Cluster Setup:-- • Downloading and installing the Ubuntu12.x • Installing Java • Installing Hadoop • Creating Cluster • Increasing Decreasing the Cluster size • Monitoring the Cluster Health • Starting and Stopping the Nodes OOZIE • Introduction to OOZIE • Use of OOZIE • Where to use? Hadoop Ecosystem Overview Oozie HBase Pig Sqoop Casandra Chukwa Mahout Zoo Keeper Flume • Case Studies Discussions • Certification Guidance • Real Time Certification and • interview Questions and Answers • Resume Preparation • Providing all Materials nd Links • Real time Project Explanation and Practice