Big Data Training institute in Pune


Big Data Training Institute in Pune: We’re the leading organization for best Big Data Training in Pune providing World-class Advanced course with our Advanced Learning Management system creating expert manpower pool to facilitate global industry requirements. Today, Prwatech has grown to be one of the leading Big Data Training Institute in Pune talent development companies in the world offering learning solutions to Institutions, Corporate Clients and Individuals.


Prwatech, Offering the best Big Data training in Pune will train you towards global certifications by Hortonworks, Cloudera, etc. Our Best Big Data training in Pune will be especially useful for software professionals and engineers with a programming background. PrwaTech offers Big Data Training in Pune with a choice of multiple training locations across Pune. We have the best in the industry certified Experienced Professionals who can guide you Learning Technology from the Beginner to advanced level with our Big data training institute in Pune. Get Pro certification course under 20+ Years of Experienced Professionals with 100% Placement assurance.


Our Big Data Training Institutes in Pune is equipped with exceptional infrastructure and labs. For best Big Data training institutes in Pune come and enroll in any one of these PrwaTech Training centers.


Pre-requisites for Big Data Training in Pune


  • Basic knowledge of core Java.
  • Basic knowledge of Linux environment will be useful however it’s not essential.

Who Can Enroll at Big Data training center in Pune?

  • This course is designed for those who:
  • Want to build big data projects using Hadoop and Hadoop Ecosystem components.
  • Want to develop Map Reduce programs.
  • Want to handle the huge amount of data.
  • Have a programming background and wish to take their career to the next level.

FAQ: What is the Future Scope of Data Science?

We as Prwatech believe that in the future there will be a vast amount of data that will be generated, therefore the Demand for data scientists will be much higher than what we have today. Data Science has become a revolutionary technology.
Data Science is a broad field that has various aspects, It is extremely functional in every industry, healthcare department, Online banking services, e-commerce business, and most importantly social media. It is very competitive to possess the requisite skill-set in order to make it big in Data Science.

Data Science is not only helping organizations understand their target audience, markets, and risks associated with business, All with the help of data. The promising field also puts forth great career opportunities for aspirants.
Data science enables retailers to influence our purchasing habits, but the importance of gathering data extends much further. Data science experts are needed in virtually every job sector. The only restriction is the extent of this dependency on data science across various industries. Every industry has something to offer to the customer and data scientists find a way to help them do this efficiently and at a higher profit.
Adapting Data Science skills is one of the brilliant Career options in terms of pay scale and technology exposure.


Do I need to be good at coding to become a Data Scientist?

You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles. These programming languages help data scientists organize unstructured data sets.

Knowledge of Analytical Tools , An understanding of analytical tools is a helpful data science skill set for extracting valuable information from an organized data set. SAS, Hadoop, Spark, Hive, Pig, and R are the most popular data analytical tools that data scientists use. Certifications can help you establish your expertise in these analytical tools.

Working with Unstructured Data, Data scientists should have experience working with unstructured data that comes from different channels and sources. For example, if a data scientist is working on a  project to help the marketing team provide insightful research, the professional should be well adept at handling social media as well.

  • It’s Flexible


Why Python is required in Data Science?

It is efficient,  Python is great for coding. It’s ideal for developers who want to script applications and websites.

It’s Easy to Learn, Thanks to Python’s focus on simplicity and readability, it boasts a gradual and relatively low learning curve. This ease of learning makes Python an ideal tool for beginning programmers. Python offers programmers the advantage of using fewer lines of code to accomplish tasks than one needs when using older languages. In other words, you spend more time playing with it and less time dealing with code.

It’s Open Source,  Python is open-source, which means it’s free and uses a community-based model for development. Python is designed to run on Windows and Linux environments. Also, it can easily be ported to multiple platforms. There are many open-source Python libraries such as Data manipulation, Data Visualization, Statistics, Mathematics, Machine Learning, and Natural Language Processing, to name just a few (though see below for more about this).

It’s Well-Supported, Anything that can go wrong will go wrong, and if you’re using something that you didn’t need to pay for, getting help can be quite a challenge. Fortunately, Python has a large following and is heavily used in academic and industrial circles, which means that there are plenty of useful analytics libraries available. Python users needing help can always turn to Stack Overflow, mailing lists, and user-contributed code and documentation. And the more popular Python becomes, the more users will contribute information on their user experience, and that means more support material is available at no cost. This creates a self-perpetuating spiral of acceptance by a growing number of data analysts and data scientists. No wonder Python’s popularity is increasing!

So, to sum up, these points, Python isn’t overly complex to use, the price is right (free!), and there’s enough support out there to make sure that you won’t be brought to a screeching halt if an issue arises. That means that this is one of those rare cases where “you get what you pay for” most certainly does not apply!

Is Big Data Really the Future?


No wonder data scientists are among the top fastest-growing jobs today, along with machine learning engineers and big data engineers. Big data is useless without analysis, and data scientists are those professionals who collect and analyze data with the help of analytics and reporting tools, turning it into actionable insights.

To rank as a good data scientist, one should have the deep knowledge of:

  • Data platforms and tools
  • Programming languages
  • Machine learning algorithms
  • Data manipulation techniques, such as building data pipelines, managing ETL processes, and prepping data for analysis

Striving to improve their operations and gain a competitive edge, businesses are willing to pay higher salaries to such talents. This makes the future look bright for data scientists.

Also, in an additional attempt to bridge the skill gap, businesses now also grow data scientists from within the companies. These professionals, dubbed citizen data scientists, are no strangers to creating advanced analytical models, but they hold the position outside the analytics field per se. However, with the help of technologies, they are able to do heavy data science processing without having a data science degree. Not until recently, machine learning and AI applications have been unavailable to most companies due to the domination of open-source platforms. Though open-source platforms were developed to make technologies closer to people, most businesses lack skills to configure required solutions on their own. This is intriguing and scary at the same time. On the one hand, intelligent robots promise to make our lives easier. On the other hand, there is an ethical issue. Such giants as Google and IBM are already pushing for more transparency by accompanying their machine learning models with the technologies that monitor bias in algorithms.


Why is Big Data important?

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

The use of Big Data is becoming common these days by the companies to outperform their peers. In most industries, existing competitors and new entrants alike will use the strategies resulting from the analyzed data to compete, innovate and capture value.

Big Data helps the organizations to create new growth opportunities and entirely new categories of companies that can combine and analyze industry data. These companies have ample information about the products and services, buyers and suppliers, consumer preferences that can be captured and analyzed.


The importance of big data does not revolve around how much data a company has but how a company utilises the collected data. Every company uses data in its own way; the more efficiently a company uses its data, the more potential it has to grow.

In today’s era, numerous social apps are being developed which result in increasing data massively every day and when we talk about social media platforms , millions of users connect on daily basis , information is shared whenever users use a social media platform or any other website, so the question arises that how this huge amount of data is handled and through what medium or tools the data is processed and stored. This is where Big Data comes into light.

Contact Us +91 8147111254


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Rs. 16000/-Enroll Now


Why Big Data Training in Pune @Prwatech,

We are India’s Leading Training Institute for Big Data Offering Pro Level Big data Training and 100% placement Assistance to All students who Enrolled with us.

  • 100% Job Assurance
  • Wi-Fi Class Rooms
  • Get trained by the finest qualified professionals
  • 100% practical training
  • Flexible timings
  • Real Time Projects
  • Resume Writing Preparation
  • Mock Tests & interviews
  • Access to Our Learning Management System Platform
  • Access to 1000+ Online Video Tutorials
  • Weekend and Weekdays batches
  • Affordable Fees
  • Complete course support
  • Guidance till you reaches your goal.


Big Data Technology has emerged as one of the world’s greatest technology which is leading numerous Job opportunities like never seen before. With over 2.6 quintillion bytes of data produced every day, there is a rapidly growing requirement for this technology and to facilitate these requirements we provide excellent training at our Big Data training institutes in Pune.


Our Big Data Training in Pune helps in nurturing professionals to manage and analyze massive data-sets to reveal business insights. To perform this, specialized knowledge of various tools such as the Big Data ecosystem is required. Job opportunities for talented software engineers in the fields of Big Data are enormous and profitable. Zest to become proficient and well versed in the Big Data environment is all that is required for a fresher.


Having technical experience and proficiency in fields described below can help you move up the ladder to great heights in the IT industry. A Big Data developer is one who has a stronghold on programming languages such as Core Java, SQL jQuery, and other scripting languages. Working knowledge of Hadoop related technologies such as Hive, Hbase, and Flume facilitates him in building an exponentially successful career in the IT industry.


Get the best in industry standard learning experience from the certified IT professionals who are carrying massive real-time experience while working with top MNC companies. Explore the technology from scratch to advanced level from the industry-certified working professionals of the best Big Data Training in Pune. We are the pioneers of Big Data training in Pune, assuring that our students can easily capitalize on the most demanding technology in the world without any flaws without advanced courses.


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.


Our trainers are much aware of the current IT trends which module is more demanding and how to learn that as a pro, not like Newbie. So don’t just dream about to become the Big Data developer to start dreaming to become the certified Pro developer by choosing the Best Trainer.


Are you hungry to step into the advanced learning platform the walk into any of these Prwatech world-class corporate branches? We’re offering both online and offline classes to our students under our certification courses Program, so one can choose either classroom training nor online classes at their convincible timings.


Frequently Asked Questions@Prwatech

  • Who can take this Big Data Certification course?

Answer: Working Professionals, Job Hunters, IT professionals Fresher’s, Students & Students who are about to complete degree’s.

  • Does your Big Data training Institute in Pune will also provide placement assistance?

Answer: yes, we’re Proving 100% Placement assistance after the course with us.

  • What are the companies Prwatech Big Data course tie-up with?

Answer: we tie-up with Flipkart, Capgemini, syntel, synchron, sungard, HCl & Other Top MNC companies

  • What is the Duration of the Course ?

Answer: The Total Duration of this course is 50 hrs + Assignment + Project.


Module 1: Hadoop Architecture

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


  • Hadoop Cluster Architecture
  • Hadoop Cluster Mods
  • Multi-Node Hadoop Cluster
  • A Typical Production Hadoop Cluster
  • Map Reduce Job execution
  • Common Hadoop Shell Commands
  • Data Loading Technique: Hadoop Copy Commands
  • Hadoop Project: Data Loading
  • Hadoop Cluster Architecture

Module 2: Hadoop Cluster Configuration and Data Loading

Learning Objective: In this module, you will learn the Hadoop Cluster Architecture and Setup, Important Configuration in Hadoop Cluster and Data Loading Techniques.


  • 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 Name node & Data node, and Map Reduce 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.


  • 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 understand all the regular Cluster Administration task such as adding and removing data nodes, name node recovery, configuring backup and recovery in hadoop, Diagnosing the node failure in the cluster, Hadoop upgrade etc.


  • Setting up Hadoop Backup
  • White list and Blacklist data nodes in cluster
  • Setup quotas, 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 for data ingestion from various data producers (web servers) into Hadoop.


  • 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 Pig Latin scripting, complex data type, different cases to work with PIG. Execution environments, operation & transformation.


  • 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) to HDFS & Vice Versa


  • 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 cases with HBase using client
  • What are the performance benchmarks in our cluster for sqoop

Module 8: HBase and Zookeeper

Learning Objectives: This module will cover advance HBase concepts. You will also learn what Zookeeper is all about, how I help in monitoring a cluster, why HBase uses zookerper and how to build application with zookeeper.


  • The Zookeeper Service: Data Model
  • 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, Name node High Availability, HDFS federation, and support for Window etc.


  • 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 Map Reduce Framework. How Map Reduce implement on Data which is stored in HDFS. Know about input split, input format & output format. Overall Map Reduce process & different stages to process the data.


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

Module 11: Hive and HiveQL

In this module we will discuss a data ware house package which analysis structure data. About Hive installation and loading data. Storing Data in different table.


  • 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
  • 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 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 the job at a given schedule.


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

Module 13: Spark

Learning Objectives: This module includes Apache Spark Architecture, 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 gives one unique integrated API by developers for the purpose of data scientists and analysts to perform separate tasks.


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

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Prakash: One of the finest Training institute with promising result oriented course which can boost your career 100% with their advanced Hadoop certification courses.

Kumar Das: Prwatech organization is truly outstanding that is nurturing the raw candidates into specialized working professionals of big data Hadoop. They provide a piece of in-depth knowledge and how actually work is done in the industry.

Alponsa: To kick start a career in Tableau field I think the Prwatech training institute is giving better opportunities to everyone. They are giving the best platform to learn by which everyone will be in advantage.

Ananya: I have completed a big data Hadoop course in Prwatech. Trainers are very experienced as well as their teaching as well it is so good that we need not revise again and again. I am very happy with the overall institute. It is a good place for beginners and experienced guys.


Want to learn the latest trending technology Big Data Hadoop Course? Register yourself for Big Data Hadoop training classes from the certified big data Hadoop experts.


This module covered in Big Data Hadoop training in Pune discusses the significance of Big Data in our social lives and the important role that it plays. It also discusses the Hadoop Architecture and Ecosystem and different Hadoop elements like MapReduce and HDFS management for storing and processing Big Data.

The Topics covered are Role Played by Big Data, The Elements of Hadoop, Hadoop Architecture, Map Reduce, HDFS, Job Tracker, Name Node, Data Node, rack Awareness, and Task Tracker.

This module helps the learners in getting a clear understanding of the procedure of setting up the Hadoop cluster on a total of five varied modes. It also discusses the process of configuring important files and data processing and loading.

Topics: Multiple Node Cluster, Configuring Files, Deleting and Adding Data Node, Secondary Name Node, Balancing and Processing Map Reduce.

This module helps in understanding the structure of Map-reduce and the procedure in which Map Reduce implements Data stored in HDFS. Readers also get to know about output and input format and input split. It also discusses the process of Map Reduce and the different stages in processing data.

Topics: Reducer, Mapper, Driver, Participation, Shuffling, Combiner, Job Scheduler, Input and Output Format, Record Reader and Decompression and Compression.

This module gets the learners enrolled in Big Data Hadoop training in Pune working with the advanced Map Reduce procedure of complex data. The learners also get to work with various new components like Distributed Cache, Counters for additional data during the processing. The module also discusses Serialization and Custom writable.

Topics: Distributed Cache, Counters, Speculative Execution, Data Localization, Mrunit Testing, and Unit Testing.

This is a module where the learners get to know about the analytics involving PIG. The module also helps the learners in understanding the PIG Latin Scripting, different cases of working with PIG and the execution operation, transformation, and environment.

Topics: Everything About PIG, PIG Latin Scripting, File Format, Load, Join, Filter, Foreach, PIG UDF, Hadoop Scripting, PIG Assignment.

This module covered in Big Data Hadoop training in Pune discusses analysis structure data and even about the installation of Hive and the process of loading data.

Topics: The topics covered are Hive, Manage Table, Hive Installation, Types of Complex Data, External Table, Joins, Bucketing and Partition, Hive Assignment and Execution Engine.

This module offers a clear understanding of the ideas pertaining to Advance Hive like UDF along with HBase and loading data in HBase.

Topics: Data Manipulation in Hive, Appending Data in Existing Hive Table, Hive Scripting, HBase Architecture, Available Client and the Features of Client API.

The module covers the ideas of Advance HBase along with ZooKeeper and the help that it offers in cluster monitoring.

Topics: Advanced Usage of HBase, Advance Indexing, HBase Tables, Consistency of ZooKeeper Service and ZooKeeper Sessions.Cluster

Rs. 16,000

35 Hours
Practical 40 Hours
15 Seats
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Course Certificate

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