Big Data Training institute in Pune

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Big data describes large and diverse datasets that are huge in volume and also rapidly grow in size over time.

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Learn Industry-Relevant Big Data Technologies at PrwaTech

In today’s digital era, businesses generate enormous amounts of data from applications, websites, social media platforms, sensors, and enterprise systems. Managing and processing these massive datasets requires advanced technologies beyond traditional systems, making Big Data one of the most critical technologies for modern organizations. PrwaTech offers a practical and industry-oriented Big Data Course in Pune designed for students, software engineers, data professionals, and IT aspirants who want to build successful careers in Big Data engineering and data-driven technologies. Our Big Data training focuses on real-time data processing, distributed computing, hands-on implementation, Hadoop ecosystem technologies, Apache Spark, and enterprise-level data processing solutions. PrwaTech has successfully trained professionals from leading organizations including IBM, HCL, Accenture, Wipro, ITC, and Crisil. Our training methodology emphasizes conceptual understanding and practical implementation to prepare students for industry-ready roles. From foundational concepts to advanced data engineering practices, our Big Data course provides complete guidance for both beginners and experienced professionals.

Course Overview

The Big Data Training Program at PrwaTech equips students with practical knowledge in processing, managing, and analyzing large-scale datasets using distributed systems and modern Big Data frameworks. The curriculum includes data storage, processing frameworks, batch and real-time processing, data pipelines, scalable architecture, and practical implementation using enterprise-grade technologies.

Tools and Technologies Covered

Hadoop Ecosystem
HDFS (Hadoop Distributed File System)
MapReduce
Apache Spark
Spark SQL
Spark Streaming
Hive
Pig
HBase
Kafka Basics
Python for Big Data
Scala Fundamentals
ETL Processes
Data Pipeline Development
Big Data Architecture

Practical Learning with Real-Time Projects

At PrwaTech, practical implementation is a core part of Big Data learning. Students gain real-world exposure through live projects, distributed computing environments, and enterprise-level use cases.

Students Will Work On:

Large Dataset Processing
Data Pipeline Development
Batch and Real-Time Processing
Apache Spark-Based Analytics Projects
Hadoop Ecosystem Implementation
ETL Workflow Development
Data Import and Transformation
Real-World Big Data Use Cases

Why Learn Big Data?

High demand for Big Data professionals across industries
Build strong data engineering capabilities
Develop expertise in distributed computing
Gain access to global career opportunities
Learn modern enterprise-level Big Data tools
Build practical implementation skills

What Will Students Learn?

Big Data Fundamentals
Hadoop Architecture
Distributed File Storage Systems
MapReduce Processing
Apache Spark Processing
Spark Streaming Fundamentals
Data Pipelines and ETL Processes
Hive and HBase Concepts
Kafka Data Streaming
Real-Time Data Processing
Big Data Architecture Design
Real-Time Project Implementation

Skills Gained

Big Data Processing Skills
Hadoop Ecosystem Expertise
Apache Spark Development Skills
Data Pipeline Development
ETL and Data Integration Skills
Real-Time Data Processing Knowledge
Distributed Computing Expertise
Kafka Streaming Understanding
Data Engineering Fundamentals
Problem-Solving and Analytical Thinking
Real-Time Project Experience
Scalable System Design Knowledge

Why Choose PrwaTech?

Trusted Big Data Training Institute in Pune
Experienced Industry Trainers
Hands-On Practical Learning
Live Big Data Projects and Case Studies
Updated Industry-Focused Curriculum
Flexible Online and Classroom Training
Certification Guidance and Support
Placement and Career Assistance
Personalized Mentorship Sessions

Career Opportunities After Big Data Training

Big Data Engineer
Data Engineer
Hadoop Developer
Spark Developer
ETL Developer
Data Analyst
Data Architect
Cloud Data Engineer

Enroll Today

Start your Big Data journey with PrwaTech and strengthen your Data Engineering expertise. Learn from industry professionals, gain hands-on experience with Hadoop and Spark technologies, and work on real-time projects. Enroll in the Best Big Data Training Course in Pune and develop industry-ready skills with practical knowledge and enterprise-level implementation experience.

Module 1 : Hadoop Architecture

Learning Objective : In this module, you will explore what is BigData, What are its limitations of the existing solutions for BigData problem, How Hadoop solves the Big Data problem, What are the common Hadoop ecosystem components, How Hadoop Architecture works, HDFS and Map Reduce Framework, and Anatomy of File Write and Read in HDFS .

Module 2 : Hadoop Cluster Configuration and Data Loading

Learning Objective : In this module, you will learn the Hadoop 1.x and 2.x Cluster Architecture and Setup, Important File Configurations in Hadoop Cluster and Data Loading Techniques . Topics,

Hadoop 2.x Cluster Architecture
Federation and High Availability Architecture
Typical Production Hadoop Cluster
Hadoop Cluster Modes
Common Hadoop Shell Commands
Hadoop 2.x Configuration Files
Single Node Cluster & Multi-Node Cluster set up
Basic Hadoop Administration

Module 3 : Hadoop Multiple node cluster and Architecture

Learning Objective : This module will help you understand multiple hadoop server roles such as Namenode & Datanode and their responsibilities and MapReduce data processing. You will also understand the Hadoop 1.0 cluster setup and configuration, steps in setting up Hadoop clients using Hadoop 1.0, and important Hadoop configuration files and parameters . Topics,

Hadoop Installation and Initial Configuration
Deploying Hadoop in fully-distributed mode
Deploying a multi-node Hadoop cluster
Installing Hadoop Clients
Hadoop server roles and their usage
Rack Awareness
Anatomy of Write and Read
Replication Pipeline
Data Processing

Module 4 : Backup , Monitoring, Recovery and Maintenance

Learning Objective : In this module, you will be understanding all the regular Cluster Administration task such as adding and removing data nodes, namenode recovery, configuring backup and recovery in hadoop, Diagnosing the node failure in the cluster, Hadoop upgrade etc. Topics,

setting up Hadoop Backup
Whitelist and Blacklist data nodes in cluster
setup quota’s, upgrade hadoop cluster
Copy data across clusters using distcp
Diagnostics and Recovery
Cluster Maintenance
Configure rack awareness

Module 5 : Flume (Dataset and Analysis)

Learning Objective : Flume is a standard, simple, robust, flexible, and extensible tool allows data ingestion from various data producers (web servers) into Hadoop. Topics,

What is Flume
Why Flume
Importing Data using Flume
Twitter Data Analysis using Hive

Module 6 : PIG(Analytics using Pig) & PIG LATIN

Learning Objective : In this module, we will learn about analytics with PIG. About Why Pig used, Pig Latin scripting, complex data type, different cases to work with PIG. Execution environments, operation & transformation. Topics,

Execution Types
Grunt Shell
Pig Latin
Data Processing
Schema on read Primitive data types and complex data types and complex data types
Tuples Schema
BAG Schema and MAP Schema
Loading and storing
Validations in PIG, Type casting in PIG
Filtering, Grouping & Joining, Debugging commands (Illustrate and Explain)
Working with function
Types of JOINS in pig and Replicated join in detail
SPLITS and Multi query execution
Error Handling
FLATTEN and ORDER BY parameter
Nested for each
How to LOAD and WRITE JSON data from PIG
Piggy Bank
Hands on exercise

Module 7 : Sqoop (Real world dataset and analysis)

Learning Objective : This module will cover to Import & Export Data from RDBMS(MySql, Oracle,Plsql) to HDFS & Vice Versa Topics,

What is Sqoop
Why Sqoop
Importing and exporting data using sqoop
Provisioning Hive Metastore
Populating HBase tables
SqoopConnectors
What are the features of sqoop
Multiple case with HBase using client
What are the performance benchmarks in our cluster for sqoop

Module 8: Zookeeper and HBase

Learning Objectives : This module will allow you to explore all the advanced HBase concepts. You will also learn what Zookeeper is all about, how It helps in monitoring a cluster, why HBase uses zookeeper and how to build an application with zookeeper. Topics,

The Zookeeper Service : DataModel
Operations
Implementations
Consistency
Sessions
States

Module 9 : Hadoop 2.0 , YARN , MRv2

Learning Objective : in this module, you will understand the newly added features in Hadoop 2.0, namely MRv2, Namenode’s High Availability, HDFS federation, support for Window etc. Topics,

Hadoop 2.0 New Feature : Name Node High Availability
HDFS Federation
MRv2
YARN
Running MRv1 in YARN
Upgrade your existing MRv1 to MRv2

Module 10 : Map-Reduce Basics and Implementation

In this module, will work on Hadoop MapReduce Framework. How MapReduce implement on Data which is stored in HDFS. Know about input split, input format & output format,Mapreduce flow, Overall Map Reduce process & different stages to process the data. Topics,

Map Reduce Concepts
Mapper and Reducer
Driver
Record Reader
Input Split(Input Format (Input Split and Records, Text Input, Binary Input, Multiple InputOverview of InputFileFormat
Hadoop Project : MapReduce Programming

Module 11 : Hive and HiveQL

In this module, we will discuss a data warehouse package which analyses structured data. About Hive installation and loading data, Storing Data in different file formats in different Hive tables. Topics,

Hive Services and 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 Table 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
Differences between ORDER BY, DISTRIBUTE BY and SORT BY
Bucketing and Sorted Bucketing with Dynamic
RC File, ORC, SerDe : Regex
MAPSIDE JOINS
INDEXES and VIEWS
Compression on Hive table and Migrating Hive Table
How to enable update in HIVE
Log Analysis on Hive
Access HBase tables using Hive
Hands on Exercise

Module 12 : Oozie

Learning Objective : Apache Oozie is a workflow scheduler for Hadoop. Oozie is the tool in which all sort of programs can be pipelined in a desired order to work in Hadoop’s distributed environment. Oozie also provides a mechanism to run a job at a given schedule. Topics :

What is Oozie
Architecture
Kinds of Oozie Jobs
Configuration Oozie Workflow
Developing & Running an Oozie Workflow (MapReduce, Hive, Pig, Sqoop)
Kinds of Nodes

Module 13 : Spark

Learning Objectives: This module includes Apache Spark Architecture, Spark features , How to use Spark with Scala and How to deploy Spark projects to the cloud Machine Learning with Spark. Spark is a unique framework for big data analytics which allows very fast data processing. Topics :

Spark Introduction
Architecture
Functional Programming
Collections
Spark Streaming
Spark SQL
Spark MLLib

About course

Hadoop is an open-source framework that allows us to store and process large volumes of data in a distributed environment across clusters of computers using simple programming models. It is designed for scaling up from a single machine/node to thousands of machines, every node offering local computation and storage. This brief tutorial provides a summarized introduction to Big Data, Hadoop, MapReduce algorithm, and Hadoop Distributed File System. Our Advanced courses on Big Data packed with world-class Classroom training which can able to deliver high-end classroom training experience, so one can really feel the comfort of learning the technology under the world-class trainers. Once the candidate is done with our Certification Course can get access to our YouTube channel which is loaded with Milestone collections of advanced tutorials about the technology which will help to understand or rewind the technology after the course completion. Our Certification Course offering flexible timings to all of our valuable students, so one can easily navigate to our Big Data training institute in Pune easily without facing any difficulty. Our Trainers are well expertise in terms of understanding the technology how it works in real-time which is making as one of the Best Big Data Training Institute in Pune over others.

Course goals

Experts in the Big Data and Hadoop industries have put together the Big Data Hadoop Training Course, which will teach you all you need to know about Big Data and Hadoop Ecosystem products like HDFS, YARN, MapReduce, Hive, Sqoop, Pig, HBase, Oozie, Flume, and Apache Spark. Upon completion, you will be tasked with working on a Hadoop project with real-time use cases.

Why learn Big data Hadoop?

The fastest-growing technology for managing massive amounts of data so that data analytics can be performed is called big data. With the aid of this Big Data Hadoop course, you will be able to quickly acquire the most difficult professional abilities. Big Data specialists are in high demand since nearly all of the leading multinational corporations (MNCs) seek to enter the Hadoop Big Data space. You may learn Big Data and advance your career in the Big Data field with the aid of our online training programme. You'll be working on several real-world projects to improve your big data expertise much more quickly. When it comes to applying for the best jobs, obtaining the Big Data certification from Prwatech might put you in a different league and advance your career.

Who ought to enrol in this course?

This course is designed for both IT professionals and recent graduates who want to become Big Data Hadoop Developers by learning and exploring the fundamentals of Big Data Analytics using Hadoop and Spark Framework. The course's primary audience consists of ETL developers, software professionals, and analytics professionals.

Why Should I Take Prwatech's Hadoop Course?

In India, Prwatech was the first training centre for Hadoop. As you are aware, there is a severe shortage of Hadoop experts in the market nowadays. Therefore, in order to obtain high salaries when learning Hadoop, it pays to be with the industry leader like Prwatech. You will learn about the many essential Hadoop components during the session, including MapReduce, HDFS, HBase, Hive, Pig, Sqoop, Flume, and Oozie. Gaining a comprehensive understanding of the complete Hadoop framework will enable you to handle massive amounts of data in practical situations. The most thorough course is the Prwatech training, which was created by industry professionals taking the business requirements and work environment into account. We also provide free course materials, videos, and round-the-clock support for life.

What Kinds Of Training Are Available Through Prwatech?

Prwatech basically offers the self-paced training and online instructor-led training. Apart from it we even provide corporate training for enterprises. All our trainers come with over 5 years of industry experience in relevant technologies and moreover they are subject matter experts working as consultants. You can check about the quality of our trainers in the sample videos provided.

If I Am Not From A Programming Background But Have A Basic Knowledge Of Programming Can I Still Learn Hadoop?

Indeed, you don't need to have any experience with software to understand Hadoop. We provide free classes in Linux and Java so you may sharpen your programming abilities. This will enable you to master Hadoop technology more quickly and effectively.

Do You Provide Placement Assistance?

Yes, placement assistance is offered by Prwatech. We have partnerships with more than 80 companies who are seeking Hadoop specialists, such as Ericsson, Cisco, Cognizant, and TCS, among others. We would be pleased to help you with the process of getting ready for the interview and the position.

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Corporate Training

Workplace Learning that Works

Blended learning delivery model (self-paced eLearning and/or instructor-led options)
Flexible pricing options
Enterprise grade Learning Management System (LMS)
Enterprise dashboards for individuals and teams
24×7 learner assistance and support

Big Data Certification Course

Course Certification

Looking for a good big data certification course online? Prwatech provides you several certification courses at realistic prices from the comfort of your house

How it Works

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Your Learning Manager Gets in Touch with You

Share your learning objectives and get oriented with our web and mobile platform. Talk to your personal learning manager to clarify your doubts.

Live Interactive Online Session with Your Instructor

Live screensharing, step-by-step live demonstrations and live Q&A led by industry experts. Missed a class? Not an issue. We record the classes and upload them to your LMS.

Access our Extensive Learning Repository

We have pre-populated your learning platform with previous class recordings and presentations. You will have life time access to Learning Repository.

Solve an Industry Live Use Case

Projects developed by industry experts gives you the experience of solving real-world problems you will face in the corporate world

Get Certified and Fast Track Your Career Growth

Earn a valued certificate. Get help in creation of a professionally written CV & Guidance for interview preparation & questions

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