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Best Big Data Hadoop Training in Hyderabad

A hands-on Big Data Hadoop course covering HDFS, MapReduce, YARN, Hive, Pig, HBase, Sqoop, Flume, Oozie and an introduction to Spark. Take the Big Data Hadoop course in Hyderabad at our Madhapur classroom, or join Big Data Hadoop online training in Hyderabad with live, trainer-led classes.

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Training modes
Live online · Classroom (Madhapur) · Corporate
Curriculum
12 modules, 139 topics
Before you enroll
Free demo session with the trainer
Missed a class?
Recorded sessions and other live batches

What is Big Data Hadoop?

Apache Hadoop is an open-source framework for storing and processing very large datasets across clusters of ordinary computers. Its core parts are HDFS for distributed storage, YARN for resource management and MapReduce for batch processing, with tools such as Hive and HBase built on top.

Where Big Data Hadoop is used

01

Storing very large datasets

Keeping logs, clickstreams and transaction history in HDFS across a cluster of commodity machines.

02

Batch processing with MapReduce

Running large aggregation and transformation jobs that would be too slow on a single database server.

03

SQL analytics with Hive

Letting analysts query huge files in HDFS using familiar SQL through Hive tables, partitions and buckets.

04

Ingesting data from databases and logs

Using Sqoop to bring relational data into HDFS and Flume to collect streaming log data.

Common in

  • Banking & finance
  • Telecom
  • Retail & e-commerce
  • Healthcare
  • Media & advertising
  • Government

Why it matters now

Why learn Big Data Hadoop in 2026

Foundation of big data

Concepts such as distributed storage, data locality and partitioning that Hadoop introduced still underpin modern data platforms.

Existing clusters need support

Many enterprises still run Hadoop clusters and Hive warehouses, and need engineers to maintain them or migrate them to the cloud.

Stepping stone to Spark

Understanding HDFS, YARN and Hive makes it much easier to work with Spark and cloud data lake services.

Who this course is for

  • Software developers moving into data engineering
  • ETL and data warehouse professionals
  • Testing professionals working on big data projects
  • Analytics and SAP BI professionals who handle large data volumes

Before you start

  • Basic SQL
  • Basic Linux commands are helpful
  • Some Java or Python helps for MapReduce programs, and fundamentals are covered

Tools and technologies you will use

  • HDFS
  • MapReduce
  • YARN
  • Hive
  • Pig
  • HBase
  • Sqoop
  • Flume
  • Oozie
  • Spark

What you will be able to do

  • Explain HDFS architecture: NameNode, DataNode, blocks and replication
  • Write and run MapReduce jobs and understand the shuffle and sort phase
  • Query large datasets with Hive and transform data with Pig
  • Move data between relational databases and Hadoop with Sqoop
  • Schedule workflows with Oozie and understand where Spark fits

Big Data Hadoop training institute in Hyderabad

Looking for the best Big Data Hadoop training in Hyderabad? RS Trainings is a Big Data Hadoop training institute in Hyderabad where trainers with industry experience teach every batch live, with real-time case studies and practice server access, so you get hands-on with HDFS, MapReduce, YARN and Hive.

Our Big Data Hadoop course in Hyderabad follows a 12-module syllabus with 139 topics, and every batch includes class recordings, resume build-up and interview preparation. You can attend a free demo with the trainer before you enroll.

Big Data Hadoop training center in Hyderabad

  • Classroom batches in Madhapur, Hi-Tech City
  • Weekday and weekend batch timings
  • Practice server access for hands-on work
  • Course material in soft and hard copy

Big Data Hadoop online training in Hyderabad

  • Live, trainer-led classes over video conferencing
  • Recordings of every session for revision
  • Join from anywhere in India, the USA or abroad
  • 24/7 learner support

Whether you join a classroom batch at our Big Data Hadoop training center in Hyderabad or learn through Big Data Hadoop online training in Hyderabad, you follow the same syllabus with the same trainers. Our aim is simple: the best Big Data Hadoop training in Hyderabad – practical, job-focused and supported until you are interview-ready.

Big Data Hadoop curriculum

12 modules · 139 topics

1 Introduction to BIG DATA and Its characteristics
  • 4 V's of BIG DATA(IBM Definition of BIG DATA)
  • What is Hadoop?
  • Why Hadoop?
  • Core Components of Hadoop
  • Intro to HDFS and its Architecture
  • Difference b/w Code Locality and Data Locality
  • HDFS commands
  • Name Node’s Safe Mode
  • Different Modes of Hadoop
  • Intro to MAPREDUCE
  • Versions of HADOOP
  • What is Daemon?
  • Hadoop Daemons?
  • What is Name Node?
  • What is Data Node?
  • What is Secondary name Node?
  • What is Job Tracker?
  • What is Task Tracker?
  • What is Edge computer in Hadoop Cluster and Its role
  • Read/Write operations in HDFS
  • Complete Overview of Hadoop1.x and Its architecture
  • Rack awareness
  • Introduction to Block size
  • Introduction to Replication Factor(R.F)
  • Introduction to HeartBeat Signal/Pulse
  • Introduction to Block report
  • MAPREDUCE Architecture
  • What is Mapper phase?
  • What is shuffle and sort phase?
  • What is Reducer phase?
  • What is split?
  • Difference between Block and split
  • Intro to first Word Count program using MAPREDUCE
  • Different classes for running MAPREDUCE program using Java
  • Mapper class
  • Reducer Class and Its role
  • Driver class
  • Submitting the Word Count MAPREDUCE program
  • Going through the Jobs system output
  • Intro to Partitioner with example
  • Intro to Combiner with example
  • Intro to Counters and its types
  • Different types of counters
  • Different types of input/output formats in HADOOP
  • Use cases for HDFS & MapReduce programs using Java
  • Single Node cluster Installation
  • Multi Node cluster Installation
  • Introduction to Configuration files in Hadoop and Its Imp.
  • Complete Overview of Hadoop2.x and Its architecture
  • Introduction to YARN
  • Resource Manager
  • Node Manager
  • Application Master(AM)
  • Applications Manager(AsM)
  • Journal Nodes
  • Difference Between Hadoop1.x and Hadoop2.x
  • High Availability(HA)
  • Hadoop Federation
2 PIG
  • The difference between MAPREDUCE and PIG
  • When to go with MAPREDUCE?
  • When to go with PIG?
  • PIG data types
  • What is field in PIG?
  • What is tuple in PIG?
  • What is Bag in PIG?
  • Intro to Grunt shell?
  • Different modes in PIG
  • Local Mode
  • MAPREDUCE mode
  • Running PIG programs
  • PIG Script
  • Intro to PIG UDFs
  • Writing PIG UDF using Java
  • Registering PIG UDF
  • Running PIG UDF
  • Different types of UDFs in PIG
  • Word Count program using PIG script
  • Use cases for PIG scripts
3 HIVE
  • Intro to HIVE
  • Why HIVE?
  • History of HIVE
  • Difference between PIG and HIVE
  • HIVE data types
  • Complex data types
  • What is Metastore and its importance?
  • Different types of tables in HIVE
  • Managed tables
  • External tables
  • Running HIVE queries
  • Intro to HIVE partitions
  • Intro to HIVE Buckets
  • How to perform the JOINS using HIVE queries
  • Intro to HIVE UDFs
  • Different types of UDFs in HIVE
  • Running HIVE queries for Word Count example
  • Use cases for HIVE
4 HBASE
  • Intro to HBASE
  • Intro to NoSQL database
  • Sparse and dense Concept in RDBMS
  • Intro to columnar/column oriented database
  • Core architecture of HBase
  • Why Hbase?
  • HDFS vs HBase
  • Intro to Regions, Region server and Hmaster
  • Limitations of Hbase
  • Integration with Hive and Hbase
  • Hbase commands
  • Use cases for HBASE
5 FLUME
  • Intro to Flume
  • Intro to Sink, Source, Flume Master and Flume agents
  • Importance of Flume agents
  • Live Demo on copying LOG DATA into HDFS
6 SQOOP
  • Intro to Sqoop
  • Importing and exporting the RDBMS into HDFS
  • Intro to incremental imports and its types
  • Use cases to import the Mysql data into HDFS
7 ZOOKEEPER
  • Intro to Zookeeper
  • Zookeeper operations
8 OOZIE
  • Intro to Oozie
  • What is Job.properties
  • What is workflow.xml
  • Scheduling the jobs in Oozie
  • Scheduling MapReduce, HIVE,PIG jobs/Programs using Oozie.
  • Setting up the VMware for Hadoop
  • Installing all Hadoop Components
  • Intro to Hadoop Distributions
  • Intro to Cloudera and its major components
9 Spark
  • What is Spark Ecosystem
  • What is Scala and its utility in Spark
  • What is SparkContext
  • How to work on RDD in Spark
  • How to run a Spark Cluster
  • Comparison of MapReduce vs Spark
10 Tableau
  • Tableau Fundamentals
  • Tableau Analytics
  • Visual Analytics
  • Connecting
  • Hadoop Integration with Tableau
11 Code versioning tools
  • Proficient understanding of code versioning tools such as Git
12 Support

Career path after Big Data Hadoop

  1. Step 1

    Big Data Developer

  2. Step 2

    Hadoop Engineer

  3. Step 3

    Senior Data Engineer

  4. Step 4

    Big Data Architect

Roles this course prepares you for

  • Big Data Engineer
  • Hadoop Developer
  • Data Engineer
  • ETL Developer (big data)

Typical progression in the industry. Your path depends on your experience and projects.

Frequently asked questions

Is Hadoop still worth learning?

Many enterprises still run Hadoop clusters, and its ideas (distributed storage, partitioning, batch processing) underpin cloud data platforms and Spark. It is a strong base for data engineering.

What is the difference between Hadoop and Spark?

Hadoop provides distributed storage (HDFS) and disk-based batch processing (MapReduce). Spark is a faster, largely in-memory processing engine that often runs on Hadoop clusters and reads data from HDFS.

Which Hadoop ecosystem tools does this course cover?

HDFS, MapReduce, YARN, Pig, Hive, HBase, Flume, Sqoop, ZooKeeper, Oozie, plus an introduction to Spark.

Which is the best Big Data Hadoop training institute in Hyderabad?

RS Trainings in Madhapur, Hi-Tech City is a Big Data Hadoop training institute in Hyderabad offering live, trainer-led classes, real-time case studies, practice server access and interview preparation. Attend a free demo to see the teaching style before you decide.

Where is your Big Data Hadoop training center in Hyderabad?

Our Big Data Hadoop training center in Hyderabad is at #402, Nukala Residency, Madhapur, Hi-Tech City, Hyderabad 500081. Please call +91 90526 99906 before you visit.

Do you offer Big Data Hadoop online training in Hyderabad?

Yes. Our Big Data Hadoop online training in Hyderabad runs as live, trainer-led classes that you can join from anywhere, and session recordings are available so you can revise later.

How long is the Big Data Hadoop course in Hyderabad?

The Big Data Hadoop course in Hyderabad covers 12 modules and 139 topics. The duration depends on the batch you choose, so ask a counsellor for the current timings.

What makes RS Trainings the best Big Data Hadoop training in Hyderabad?

Live, trainer-led classes, a practical syllabus with real-time case studies, practice server access, recordings of every session, and resume and interview preparation – plus a free demo so you can judge for yourself.

What if i miss a class?

You will never miss a class at Rstrainings! You can choose either of the two options

  • You can go through the recorded session of the missed class and the class presentation that are available for online viewing through the LMS.
  • You can attend the missed session, in any other live batch. Please note, access to the course material will be available for lifetime once you have enrolled into the course.

Does RS Training provide any support sessions if I have difficulty in any topics ?
  • Our backend team would be available 24*7 to answer your queries on mail. If in case your query remains unanswered , then we can bring a solution to it by organizing a personal session with our trainer.
  • We would assist your queries even after the training is completed and that is the best part of our services.
  • RS Trainings team will always be available to resolve your doubts at any point of time.
  • However, please understand that we are not into job placements.

Can I attend a demo session before enrollment?
  • We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible.
  • However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

What Modes of Training does RS Trainings offers ?
  • RS Trainings fundamentally offers you classroom and online training sessions Based on Courses. We are also engaged in Corporate trainings for business enterprises. To check the quality of the training, you may review our sample demo sessions .

What if I have more queries?
  • You can Call us at +91 9052 699 906 OR Email us at contact@rstrainings.com. We shall be glad to assist you.

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