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Big Data and Hadoop Training

Master Big Data and Hadoop with Iteanz. Learn data processing, HDFS, MapReduce, and ecosystem tools through expert-led online training.

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About Program

Unlock Data at Scale – Expert-led Big Data and Hadoop training in HDFS, MapReduce, data ingestion, and real-time processing workflows.

The Big Data and Hadoop Training offered by Iteanz is a comprehensive and industry-aligned program designed to equip professionals with the technical expertise required to process, manage, and analyze massive datasets across diverse domains.

This course provides in-depth coverage of key big data concepts, including Hadoop architecture, HDFS, MapReduce, Hive, Pig, HBase, and real-time data processing with tools like Spark. Through hands-on projects, real-world case studies, and expert-led instruction, participants will gain practical experience in building scalable data pipelines, performing distributed data analysis, and driving data-driven strategies in complex enterprise environments.

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Curriculum

Understanding Big Data and Hadoop
  • Big Data
  • Limitations and Solutions of existing
  • Data Analytics Architecture
  • Hadoop
  • Hadoop Features
  • Hadoop Ecosystem
  • Hadoop 2.x core components
  • Hadoop Storage: HDFS
  • Hadoop Processing: MapReduce
  • Framework
  • Hadoop Different Distributions
Hadoop Architecture and HDFS
  • Hadoop 2.x Cluster Architecture
  • Federation and High Availability
  • A Typical Production Hadoop Cluster
  • Hadoop Cluster Modes
  • Common Hadoop Shell Commands
  • Hadoop 2.x Configuration Files
  • Single node cluster and Multinode
  • cluster set up Hadoop Administration
Hadoop Mapreduce Framework
  • MapReduce Use Cases
  • Traditional way Vs MapReduce way
  • Why MapReduce
  • Hadoop 2.x MapReduce Architecture
  • Hadoop 2.x MapReduce Components
  • YARN MR Application Execution Flow
  • YARN Workflow
  • Anatomy of MapReduce Program
  • Demo on MapReduce
  • Input Splits
  • The relation between Input Splits and
  • HDFS Blocks
  • MapReduce: Combiner & Partitioner
  • Demo on de-identifying Health Care
  • Data set
  • Demo on Weather Data set
Advanced MapReduce
  • Counters
  • Distributed Cache
  • MR unit
  • Reduce Join
  • Custom Input Format
  • Sequence Input Format
  • XML file Parsing using MapReduce
Pig
  • About Pig
  • MapReduce Vs Pig
  • Pig Use Cases
  • Programming Structure in Pig
  • Pig Running Modes
  • Pig components
  • Pig Execution
  • Pig Latin Program
  • Data Models in Pig
  • Pig Data Types
  • Shell and Utility Commands
  • Pig Latin: Relational Operators
  • File Loaders, Group Operator
  • COGROUP Operator
  • Joins and COGROUP
  • Union
  • Diagnostic Operators
  • Specialized joins in Pig
  • Built-In Functions ( Eval Function,
  • Load and Store Functions, Math
  • function, String Function, Date Function, Pig UDF, Piggybank, Parameter Substitution ( PIG macros and Pig Parameter substitution )
  • Pig Streaming
  • Testing Pig scripts with Punit
  • Aviation use case in PIG
  • Pig Demo on Healthcare Data set
Hive
  • Hive Background
  • Hive Use Case
  • About Hive
  • Hive Vs Pig
  • Hive Architecture and Components
  • Metastore in Hive
  • Limitations of Hive
  • Comparison with Traditional Database
  • Hive Data Types and Data Models
  • Partitions and Buckets
  • Hive Tables(Managed Tables and External Tables)
  • Importing Data
  • Querying Data
  • Managing Output
  • Hive Script
  • Hive UDF
  • Retail use case in Hive
  • Hive Demo on Healthcare Data set
Advanced Hive and Hbase
  • Hive QL: Joining Tables
  • Dynamic Partitioning
  • Custom Map/Reduce Scripts
  • Hive Indexes and views Hive query optimizers
  • Hive: Thrift Server, User Defined Functions
  • HBase: Introduction to NoSQL
  • Databases and HBase
  • HBase v/s RDBMS
  • HBase Components
  • HBase Architecture
  • Run Modes & Configuration
  • HBase Cluster Deployment
Advanced HBase
  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Data Loading Techniques
  • ZooKeeper Data Model
  • Zookeeper Service
  • Zookeeper
  • Demos on Bulk Loading
  • Getting and Inserting Data
  • Filters in HBase
Processing Distributed Data with Apache Spark
  • What is Apache Spark
  • Spark Ecosystem
  • Spark Components
  • History of Spark and Spark
  • Versions/Releases
  • Spark a Polyglot
  • What is Scala?
  • Why Scala?
  • SparkContext
  • RDD
Oozie and Hadoop Project
  • Flume and Sqoop Demo
  • Oozie
  • Oozie Components
  • Oozie Workflow
  • Scheduling with Oozie
  • Demo on Oozie Workflow
  • Oozie Co-ordinator
  • Oozie Commands
  • Oozie Web Console
  • Oozie for MapReduce
  • PIG
  • Hive, and Sqoop
  • Combine flow of MR
  • PIG
  • Hive in Oozie
  • Hadoop Project Demo
  • Hadoop Integration with Talend

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Key Features of our Training.


 

Testimonials

Success Stories in Their Own Words

“Iteanz provided a top-notch training experience. The Big Data and Hadoop modules were industry-relevant and hands-on. Additionally, the real-world use cases added great value. Trainers were approachable, and the weekend batches helped balance work and study. Definitely worth enrolling if you're starting in tech."
Nilanjana Barman
Junior Software Developer
"Great institute with excellent trainers! The Big Data and Hadoop course helped bridge the gap between academic knowledge and real-world applications. Iteanz focuses on practical implementation, which boosted my confidence for job interviews and projects. Timely help from the team was a huge plus."
Ripudaman Handa
Associate Consultant
"Comprehensive coverage of Hadoop ecosystem including YARN and Sqoop. Trainer's expertise in cluster tuning helped me reduce job execution time by 40%. Course materials were well-structured with relevant case studies from e-commerce domain and the trainers even went beyond syllabus to explain best practices."
Diwakar Goel
Big Data Analyst
"The training provided in-depth coverage of Hadoop ecosystem including HDFS architecture, MapReduce optimization and YARN resource management. The instructor's real-world examples of handling petabyte-scale data processing helped me implement efficient cluster configurations at work."
Sree Ramya
Big Data Engineer
 

FAQ's

Will I get placement assistance?

Iteanz is providing 100% placement assistance on our key courses. We help you with career counseling, Exams on Key courses, Mock Interviews and Technical Interviews Tips. 

Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job. 

Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25,000 to all Iteanz students which will help you to attend the interviews with more confidence. 

Can I attend a demo session before enrollment?

Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form to schedule a free demo.

What if I miss a class?

You will never miss a lecture at myTectra. You can choose either of the two options:

Classroom Training:

  • If you miss one or a few classes we can give a backup class based on the trainer and your convenient time. 
  • In case you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many course topics you have completed so far.

Live-Online Training:

  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.
What if I have more queries?

Just give us a CALL at +91-80-468-10331 OR email at info@iteanz.com

What are the payment options?

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.

  • Visa Debit/Credit Card
  • American Express and Diners Club Card
  • Master Card
  • PayPal
  • Net Banking/Wire Transfer
  • UPI Payment such as Google Pay, PhonePe, Paytm
  • Cash/Cheque/DD ( Not for Online Training )
Where do the classes take place?

For Individual: 

Classroom Training - Bangalore

Live-Online Training - Globally 

For Corporates: 

Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!

Online Training - Globally

* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.

Who are the Trainers?

Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses. 

 

Career Services

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Placement Assistance

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Resume & LinkedIn Profile Building

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Exclusive access to Iteanz Job portal

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Access to Soft Skill Enhancement

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Mock Interview Preparation

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One-on-one career guidance

 

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