Hadoop Training in Chennai


Big Data Hadoop Training in Chennai at Greens Technologys – Top rated Hadoop Training Institute in Chennai. Call 89399-15577 for more details.


Expert's Best Hadoop Training in Chennai topics taught by experienced certified professionals with extensive real-world experience. All of our other Hadoop training will incorporate the Hadoop New features, providing complete practical training for the latest Hadoop release.


Big data Hadoop training in Chennai with 10 real time industry oriented case study projects on HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop and prepares you for Cloudera CCA Spark and Hadoop Developer Certification ( CCA175) as well as master Hadoop Administration .


About The Trainer

- Kumaran Ponnambalam has been working with data for more than 20 years.

Kumaran Ponnambalam is a Chief Data Scientist who works with Amazon Web Services and Google Cloud Platform, specializing in Hadoop development.
As a data scientist, he is skilled in optimizing queries and processing large data sets.

Kumaran Ponnambalam specializes in Hadoop projects.
Kumaran Ponnambalam has worked with AWS Athena, Aurora, Redshift, Kinesis, and the IoT.
He has also done production work with Databricks for Apache Spark and Google Cloud Dataproc, Bigtable, BigQuery, and Cloud Spanner.

In his current role at Amazon, he is working with the Hadoop development team.
He specializes in writing and deploying data processing improvements.
His accomplishments include programming enhanced metadata processing for A/B testing, optimizing jobs on a 1,000+ node cluster, and creating a distributed fault injection platform.

He has spoken on data and cloud technologies in North and South America, Europe, Africa, Asia, and Australia.

Flexible Timings / Weekend classes Available.

Talk to the Trainer @ +91-8939915577

About Hadoop Training in Chennai


This Bigdata training in Chennai is designed to make you a certified Hadoop practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop.

We develop a personal relationship with students and ensure that we the Best Hadoop training center in Chennai maximize their learning, and we offer supplemental mentoring by our instructor.


Who should go for this Hadoop Training Course?


Market for Hadoop analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals.
Here are the few Professional IT groups, who are continuously enjoying the benefits moving into Hadoop domain:

  • Developers and Architects
  • BI /ETL/DW professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Freshers

Hadoop Training for Beginners (Starts from Basic Java Training)


This Hadoop Training course covers all the fundamentals about Java and teaches you everything you need to know about big data. Gain skills in Hadoop, MapReduce, Cassandra, Apache Spark, and MongoDB, Hadoop Administration, Apache HBase Fundamentals, Spark Kafka, Flink, Data Science, Spark, Scala and Storm combo with unique Hadoop training course content.

We provide the BEST Hadoop Training in Adyar, OMR, Tambaram, Porur and Annanagar helps you to get certified in Hadoop Professional, Certified Hadoop Scientist, Certified Hadoop Science Professional.



Hadoop Training and Placement in Chennai


Rated as No 1 Hadoop training institute in Chennai for Assured Placements. Our Job Oriented Hadoop training courses in chennai are taught by experienced certified professionals with extensive real-world experience. All our Best Hadoop training in Chennai focuses on practical than theory model.


Placements we provide under our Hadoop Training in Chennai Adyar and OMR.

  • Hadoop Training and Placement in Chennai
  • Hadoop Hadoop Training and Placement in Chennai
  • Hadoop Analytics Training and Placement in Chennai

Hadoop Corporate Training in Chennai


Make your team data smart. Customized online and onsite courses in Analytics, Data Science, Machine Learning, Hadoop training in Chennai for your employees.


Cross-training your data scientists, data architects, Hadoop developers, analysts and administrators also prepares you to optimize across the entire data value chain. Our instructors are recognized as the India's top experts in the area of Hadoop and analytics and have access to industry data sets that are incorporated into each course.


Hadoop Training courses in Chennai


  • Hadoop Certification Training
  • Hadoop Project based Training
  • Apache Spark Certification Training
  • Hadoop Administration
  • NoSQL Databases for Big Data
  • CCA175 - Cloudera Spark and Hadoop Developer Certification
  • Spark, Scala and Storm combo
  • Apache Kafka
  • Apache Storm Introduction
  • Apache Hadoop and MapReduce Essentials
  • Apache Spark Advanced Topics
  • Hadoop Interview Preparation - Questions and Answers

The Hadoop Hadoop Certification course is designed to give you in-depth knowledge of the Hadoop framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our Hadoop training.

You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our Hadoop course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.

As a part of the Hadoop course, you will be required to execute real-life industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Hadoop Hadoop training course will prepare you for the Cloudera CCA175 Hadoop certification.


Hadoop Courses, Certification & Training content


  • 1 About Hadoop Training
  • 2 Hadoop Training Course Prerequisites
  • 3 Hardware and Software Requirements
  • 4 Hadoop Training Course Duration
  • 5 Hadoop Course Content


  • Hadoop Training Course Prerequisites


    • Basic Unix Commands
    • Core Java (OOPS Concepts, Collections , Exceptions ) — For Map-Reduce Programming
    • SQL Query knowledge – For Hive Queries

    Hardware and Software Requirements


    • Any Linux flavor OS (Ex: Ubuntu/Cent OS/Fedora/RedHat Linux) with 4 GB RAM (minimum), 100 GB HDD
    • Java 1.6+
    • Open-SSH server & client
    • MYSQL Database
    • Eclipse IDE
    • VMWare (To use Linux OS along with Windows OS)

    Hadoop Training Course Duration


    • 70 Hours, daily 1:30 Hours

    Hadoop Course Content


    Introduction to Hadoop


    • High Availability
    • Scaling
    • Advantages and Challenges

    Introduction to Hadoop


    • What is Big data
    • Hadoop opportunities
    • Hadoop Challenges
    • Characteristics of Big data

    Introduction to Hadoop


    • Hadoop Distributed File System
    • Comparing Hadoop & SQL.
    • Industries using Hadoop.
    • Data Locality.
    • Hadoop Architecture.
    • Map Reduce & HDFS.
    • Using the Hadoop single node image (Clone).

    The Hadoop Distributed File System (HDFS)


    • HDFS Design & Concepts
    • Blocks, Name nodes and Data nodes
    • HDFS High-Availability and HDFS Federation.
    • Hadoop DFS The Command-Line Interface
    • Basic File System Operations
    • Anatomy of File Read
    • Anatomy of File Write
    • Block Placement Policy and Modes
    • More detailed explanation about Configuration files.
    • Metadata, FS image, Edit log, Secondary Name Node and Safe Mode.
    • How to add New Data Node dynamically.
    • How to decommission a Data Node dynamically (Without stopping cluster).
    • FSCK Utility. (Block report).
    • How to override default configuration at system level and Programming level.
    • HDFS Federation.
    • ZOOKEEPER Leader Election Algorithm.
    • Exercise and small use case on HDFS.

    Map Reduce


    • Functional Programming Basics.
    • Map and Reduce Basics
    • How Map Reduce Works
    • Anatomy of a Map Reduce Job Run
    • Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
    • Job Completion, Failures
    • Shuffling and Sorting
    • Splits, Record reader, Partition, Types of partitions & Combiner
    • Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots.
    • Types of Schedulers and Counters.
    • Comparisons between Old and New API at code and Architecture Level.
    • Getting the data from RDBMS into HDFS using Custom data types.
    • Distributed Cache and Hadoop Streaming (Python, Ruby and R).
    • YARN.
    • Sequential Files and Map Files.
    • Enabling Compression Codec’s.
    • Map side Join with distributed Cache.
    • Types of I/O Formats: Multiple outputs, NLINEinputformat.
    • Handling small files using CombineFileInputFormat.

    Map/Reduce Programming – Java Programming


    • Hands on “Word Count” in Map/Reduce in standalone and Pseudo distribution Mode.
    • Sorting files using Hadoop Configuration API discussion
    • Emulating “grep” for searching inside a file in Hadoop
    • DBInput Format
    • Job Dependency API discussion
    • Input Format API discussion
    • Input Split API discussion
    • Custom Data type creation in Hadoop.

    NOSQL


    • ACID in RDBMS and BASE in NoSQL.
    • CAP Theorem and Types of Consistency.
    • Types of NoSQL Databases in detail.
    • Columnar Databases in Detail (HBASE and CASSANDRA).
    • TTL, Bloom Filters and Compensation.

    HBase


    • HBase Installation
    • HBase concepts
    • HBase Data Model and Comparison between RDBMS and NOSQL.
    • Master & Region Servers.
    • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture.
    • Catalog Tables.
    • Block Cache and sharding.
    • SPLITS.
    • DATA Modeling (Sequential, Salted, Promoted and Random Keys).
    • JAVA API’s and Rest Interface.
    • Client Side Buffering and Process 1 million records using Client side Buffering.
    • HBASE Counters.
    • Enabling Replication and HBASE RAW Scans.
    • HBASE Filters.
    • Bulk Loading and Coprocessors (Endpoints and Observers with programs).
    • Real world use case consisting of HDFS,MR and HBASE.

    Hive


    • Installation
    • Introduction and Architecture.
    • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
    • Meta store
    • Hive QL
    • OLTP vs. OLAP
    • Working with Tables.
    • Primitive data types and complex data types.
    • Working with Partitions.
    • User Defined Functions
    • Hive Bucketed Tables and Sampling.
    • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
    • Dynamic Partition
    • Differences between ORDER BY, DISTRIBUTE BY and SORT BY.
    • Bucketing and Sorted Bucketing with Dynamic partition.
    • RC File.
    • INDEXES and VIEWS.
    • MAPSIDE JOINS.
    • Compression on hive tables and Migrating Hive tables.
    • Dynamic substation of Hive and Different ways of running Hive
    • How to enable Update in HIVE.
    • Log Analysis on Hive.
    • Access HBASE tables using Hive.
    • Hands on Exercises

    Pig


    • Installation
    • Execution Types
    • Grunt Shell
    • Pig Latin
    • Data Processing
    • Schema on read
    • Primitive data types and complex data types.
    • Tuple schema, BAG Schema and MAP Schema.
    • Loading and Storing
    • Filtering
    • Grouping & Joining
    • Debugging commands (Illustrate and Explain).
    • Validations in PIG.
    • Type casting in PIG.
    • Working with Functions
    • User Defined Functions
    • Types of JOINS in pig and Replicated Join in detail.
    • SPLITS and Multiquery execution.
    • Error Handling, FLATTEN and ORDER BY.
    • Parameter Substitution.
    • Nested For Each.
    • User Defined Functions, Dynamic Invokers and Macros.
    • How to access HBASE using PIG.
    • How to Load and Write JSON DATA using PIG.
    • Piggy Bank.
    • Hands on Exercises

    SQOOP


    • Installation
    • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV,Compressing,Control Parallelism, All tables Import)
    • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
    • Free Form Query Import
    • Export data to RDBMS,HIVE and HBASE
    • Hands on Exercises.

    HCATALOG.


    • Installation.
    • Introduction to HCATALOG.
    • About Hcatalog with PIG,HIVE and MR.
    • Hands on Exercises.

    FLUME


    • Installation
    • Introduction to Flume
    • Flume Agents: Sources, Channels and Sinks
    • Log User information using Java program in to HDFS using LOG4J and Avro Source
    • Log User information using Java program in to HDFS using Tail Source
    • Log User information using Java program in to HBASE using LOG4J and Avro Source
    • Log User information using Java program in to HBASE using Tail Source
    • Flume Commands
    • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG

    More Ecosystems


    • HUE.(Hortonworks and Cloudera).

    Oozie


    • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.
    • Workflow to show how to schedule Sqoop Job, Hive, MR and PIG.
    • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour.
    • Zoo Keeper
    • HBASE Integration with HIVE and PIG.
    • Phoenix
    • Proof of concept (POC).

    SPARK


    • Overview
    • Linking with Spark
    • Initializing Spark
    • Using the Shell
    • Resilient Distributed Datasets (RDDs)
    • Parallelized Collections
    • External Datasets
    • RDD Operations
    • Basics, Passing Functions to Spark
    • Working with Key-Value Pairs
    • Transformations
    • Actions
    • RDD Persistence
    • Which Storage Level to Choose?
    • Removing Data
    • Shared Variables
    • Broadcast Variables
    • Accumulators
    • Deploying to a Cluster
    • Unit Testing
    • Migrating from pre-1.0 Versions of Spark
    • Where to Go from Here

Hadoop Certification Training in Chennai


Hadoop Certification Training in Chennai will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. You will learn to:

Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.

  • Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
  • Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
  • Ingest data using Sqoop and Flume
  • Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
  • Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
  • Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
  • Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
  • Gain a working knowledge of Pig and its components
  • Do functional programming in Spark, and implement and build Spark applications
  • Understand resilient distribution datasets (RDD) in detail
  • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
  • Understand the common use cases of Spark and various interactive algorithms
  • Learn Spark SQL, creating, transforming, and querying data frames
  • Prepare for Cloudera CCA175 Hadoop certification



Course advisor


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Named by Onalytica as one of the three most influential people in Big Data, Also an author for a number of leading Hadoop and Data Science websites, including Datafloq, Data Science Central, and The Guardian. She also regularly speaks at renowned events.


What is a Big Data?


The term ‘Big Data’ refers to extremely large data sets, structured or unstructured, that are so complex that they need more sophisticated processing systems than the traditional data processing application software.

It can also refer to the process of using predictive analytics, user behavior analytics or other advanced data analysis technology to extract value from a data set.
Hadoop is often used in businesses or government agencies to find trends and patterns, that can help them strategic decisions or spot a certain pattern or trend among the masses.


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Hadoop training in Chennai Reviews


Greens Technology Reviews given by our students already completed the training with us. Please give your feedback as well if you are a student.


Hadoop training in Chennai Reviews from our Students


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Dear Karthik! This e-mail is to say BIG THANK YOU..for all teaching you done in our Hadoop training sessions. I GOT JOB as Hadoop Developer after almost 2 months of struggle here in Chennai. I must Thank you for such a good and rocking lessons. to tell you frankly you made me to like/love/crazy about R though i have no idea about it before joining your classes." This is my first job in IT after my studies and i am a bit tensed how things will be after joining in the company. your suggestions are more helpful for me to get on well in the company as good developer.



Best Hadoop Certification Training Syllabus


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I attended the Base R and Advanced Hadoop course class room sessions. The outline of the each course were well prepared and presented using latest video technology. The instructor is very talented and expert on Analytics concepts both theoretically and practically. I would highly recommend this institute to any one who wants to learn Hadoop ." I joined "Greens Technology" because of their proven expertise in R practical training. Here, I learnt the Magic of Hadoop . The constant and personal interaction with the Trainer, Live Projects, Certification Training and Study material are the best part. The trainers are extremely proficient in their knowledge and understanding of the topics. The instructors I had were both skillful and possessed the knowledge required to present the material to the classes. The R Certification training program has provided me with the necessary skill sets to prepare me for the corporate world. "Greens Technology" is the stepping stone to my success in the IT world. The money invested is well worth the reward. On my personal experience I recommend "Greens Technology" heart fully as the best training institute for IT Business Intelligence education. Thank you "Greens Technology" for helping me achieve my dream of becoming an Hadoop Certified Professional.



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"The course delivery certainly is much better than what I expected. I am glad that I decided to choose Greens Technology for the Hadoop course. Wonderful learning experience and I like the way classes are organized and good support staff. Greens Technology provides quality learning experience within affordable price. Also thanks to my educator Dinesh , his teaching inspires and motivates to learn..


Best Hadoop Training and Placement In Chennai


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"Friends I am from Manual testing background having 6+ years experienced. I planned to Move into R Business Intelligence (BI) . I Came to know about Greens technologies and Sai who is working in CTS . They Really helped me to clear the interview. Thanks to Sai Sir. Knowledgeable Presenters, Professional Materials, Excellent Support" what else can a person ask for when acquiring a new skill or knowledge to enhance their career. Greens Technology true to its name is the place to gather,garner and garden the knowledge for all around the globe. My Best wishes to Greens Technology team for their upcoming bright future in E-Learning sector.


R Training Venue:

Are you located in any of these areas - Adyar, Mylapore, Nandanam, Nanganallur, Nungambakkam, OMR, Pallikaranai, Perungudi, Ambattur, Aminjikarai, Adambakkam, Anna Nagar, Anna Salai, Ashok Nagar, Besant Nagar, Choolaimedu, Chromepet, Medavakkam, Porur, Saidapet, Sholinganallur, St. Thomas Mount, T. Nagar, Tambaram, Teynampet, Thiruvanmiyur, Thoraipakkam,Vadapalani, Velachery, Egmore, Ekkattuthangal, Guindy, K.K.Nagar, Kilpauk, Kodambakkam, Madipakkam, Villivakkam, Virugambakkam and West Mambalam.

Our Adyar office is just few kilometre away from your location. If you need the best R training in Chennai, driving couple of extra kilometres is worth it!



Hadoop Related Training Courses in Chennai



Hadoop Placement Training in Chennai


  • More than 2000+ students Trained
  • 95% percent Placement Record
  • 960+ Interviews Organized

Hadoop training Locations in Chennai


Our Hadoop Training centers


  • Adyar
  • Ambattur
  • Adambakkam
  • Anna Nagar
  • Anna Salai
  • Ashok Nagar
  • Choolaimedu
  • Chromepet
  • Ekkattuthangal
  • Guindy
  • Kodambakkam
  • Madipakkam
  • Mylapore
  • Porur
  • Saidapet
  • T. Nagar
  • Tambaram
  • Vadapalani
  • Velachery
  • Villivakkam
  • Virugambakkam

Hadoop training batch size in Chennai


Regular Batch ( Morning, Day time & Evening)


  • Seats Available : 8 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)


  • Seats Available : 8 (maximum)

Fast Track batch


  • Seats Available : 5 (maximum)


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Testimonials
best R training center in chennai "The best thing about Greens Technologys Hadoop classes is that, it uses real examples in class. This gives a deeper understanding of the material as against me just looking at slides.
Karthik! I am really delighted about the Hadoop course and i am surprised to see the depth of your knowledge in all aspects of the bigdata. I see that many architects with over 15+ yrs experience doesn't have the knowledge that you have. I really enjoyed your sessions, definitely look forward to learn more from you in the future. Thanks again."

R training chennai ""Dear Karthik, R training has been outstanding. You have covered every aspect of the R which would boost the confidence of the attendee to dive into greater depths and face the interviews subsequently. I feel confident after attending the R course. I am sure you would be providing us your valuable high level guidence in our initial realtime project . Each of your session is a eye opener and it is a great joy to attend your R training. Thanks and Kindest Regards ""

R training classes in chennai "I thought I knew R until I took this course. My company sent me here against my will. It was definitely worth and I found out how many things I was doing wrong. Karthik is awesome. but i got a lot inspired by you. I will keep in touch and will always try to learn from you as much as I can. Thanks once again Karthik"

Greens Technologys Overall Reviews


Greens Technologys Overall Reviews 5 out of 5 based on 12,468 ratings. 12,468 user reviews.
R training chennai """I think this is the best R course I have taken so far..Well I am still in the process of learning new things but for me this learning process has become so easy only after I joined this course..as Sajin is very organized and up to the point.. he knows what he is teaching and makes his point very clear by explaining numerous times. I would definitely recommend anyone who has any passion for Cloud.." ""


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