Big Data and Data Engineering Training

Big Data and Data Engineering Online Course with Certification

Learn Linux, SQL, Hadoop, Hive, Spark and GCP Dataproc in a 5 month big data online course. Choose live online, classroom or self paced learning. You receive a certificate of completion.

★ 4.3 out of 5 rating 15k+ learners trained Certificate on completion

Live Interactive Classes
Job Assistance
Industry Expert Trainers
Recorded Classes on LMS
Hands On Projects
Online and Classroom Batches

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Course Duration

5 Months

Learning Mode

Live Online, Classroom and Self Paced

Projects

Real Time Project

Certification

Certificate of Completion

Job Support

Job Assistance

Batch Timing

[Confirm batch timings]

Experience Level

Beginner Friendly

Fees Start At

₹5,000

Who Should Take This Big Data Course?

This course is for:

Software Engineers

Add big data skills to your current development experience.

Data Engineers and ETL Developers

Learn Hadoop, Hive, Sqoop and Spark to work with large datasets.

Data Scientists and Analytics Professionals

Process and analyse data that is too large for a single machine.

Graduates

Start a career in big data and analytics with a structured 5 month course.

Not sure which course is right for you?

Take our 2 minute course finder to choose between Big Data, PySpark, Apache Spark Scala and Python.

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What You Will Learn in the Big Data Course

Linux SQL Hadoop and HDFS MapReduce Pig and Hive Sqoop and Oozie Spark GCP Dataproc

By the end of the course, you'll be able to:

Use Linux commands and write SQL queries to work with data
Explain Hadoop architecture, including HDFS, YARN and MRv2
Set up single node and multi node Hadoop clusters
Write MapReduce programs with a mapper, reducer and driver
Process and analyse data with Pig Latin and HiveQL
Move data with Sqoop and build Oozie workflows for MapReduce, Hive and Sqoop jobs
Work with Spark architecture, Spark SQL, Spark Streaming and Spark MLlib
Run Hadoop and Spark on Google Cloud Dataproc with Cloud Storage in place of HDFS

Big data tools and Hadoop ecosystem components

Hadoop and HDFS

MapReduce

Hive

Pig

Sqoop

Oozie

Spark

GCP Dataproc

Hands On Big Data Projects

Project 01

Hadoop Data Loading

Tools: HDFS, Hadoop shell commands

You'll build:

A data loading job for a Hadoop cluster
Practice with common Hadoop shell commands
Practice with Hadoop copy commands
Hands on work with Hadoop cluster architecture

View Project →

Project 02

MapReduce Programming

Tools: MapReduce, YARN

You'll build:

A mapper and a reducer
A driver to run the job on the cluster
A record reader and input split choices
Text, binary and multiple input formats

View Project →

Project 03

Log Analysis on Hive

Tools: Hive, HiveQL

You'll build:

Hive tables and partitions
HiveQL queries on log data
Bucketed tables and sampling
Tables stored in RC File and ORC formats

View Project →

Each project gives you something specific to explain in an interview.

Big Data Career Roles After This Course

Course

Skill Building

Hands On Projects

Real Time Project

CV Help

Interview Preparation

Job Assistance

Career roles you can target

Role	Core Skills
Hadoop Developer	HDFS, MapReduce, Hive, Pig
Big Data Developer	Hive, Spark, Sqoop
ETL Developer	Sqoop, Pig, Hive, Oozie
Junior Data Engineer	Linux, SQL, Spark, GCP Dataproc
Big Data Analyst	HiveQL, Spark SQL

Job assistance is described below with what it includes. These roles are examples of where the skills are used. This course does not guarantee a job offer.

How Prwatech supports your job search

What job assistance includes, in detail.

01

CV Help

Get help creating a professionally written CV.

02

Interview Preparation

Get guidance for interview preparation and common interview questions.

03

Real Time Project

Work on an industry grade project to see how big data teams work.

04

Screening Test

Learners who pass the screening test receive interview calls.

05

Job Assistance

[Describe exactly what else this includes, such as referrals or a job board.]

92% learners placed since 2010

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Why Learn Big Data with Prwatech

15+ Years

Training Experience

15k+

Learners Trained

Industry

Experts Lead Live Q&A

Recorded

Classes on Your LMS

Job

Assistance Included

Online +

Classroom Batches

Big Data Trainers

Photo

[Trainer Name]

[Current role]

[Years of experience]

Specialization: [Specialization]

Photo

[Trainer Name]

[Current role]

[Years of experience]

Specialization: [Specialization]

Meet Your Trainers →

Student Reviews

★ 4.3 average from 299+ verified Google reviews

Every review is public on Google.

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Before → After

Before	After
No Hadoop knowledge	Hadoop cluster setup and HDFS
No big data query skills	HiveQL and Spark SQL
No project work	Hands on big data projects
No interview practice	Interview preparation guidance

Big Data Course Syllabus

1. Foundation: Linux and SQL

Linux: introduction, basic commands, architecture, shell, kernel, file system and process states
SQL: databases and DBMS, MySQL, creating tables, insert, select, update and delete
SQL: data types, primary keys, null values and auto increment

2. Hadoop Architecture and Cluster Setup

Module 1: Hadoop cluster architecture, MapReduce job execution, shell and copy commands, and a data loading project
Module 2: federation and high availability architecture, cluster modes, configuration files, single node and multi node setup, basic administration
Module 3: fully distributed mode, Hadoop clients, server roles, rack awareness, anatomy of write and read, the replication pipeline

3. Pig, Sqoop, HBase and ZooKeeper

Module 4: Grunt shell, Pig Latin, schema on read, data types, tuple, bag and map schema, loading and storing, type casting
Module 5: importing and exporting data with Sqoop, the Hive metastore, populating HBase tables, Sqoop connectors, performance benchmarks, real world dataset analysis
Module 6: the ZooKeeper service and data model, operations, consistency, sessions and states

4. Hadoop 2.0, YARN and MapReduce

Module 7: NameNode high availability, HDFS federation, MRv2, YARN, running MRv1 on YARN, upgrading from MRv1 to MRv2
Module 8: MapReduce concepts, mapper, reducer and driver, record reader, input split and input formats, a MapReduce programming project

5. Hive and HiveQL

Hive services, shell, server, web interface and metastore
HiveQL, OLTP and OLAP, tables, data types and partitions
User defined functions, bucketing and sampling, external partitioned tables, multiple inserts
ORDER BY, DISTRIBUTE BY and SORT BY, RC File, ORC and SerDe
Map side joins, indexes and views, compression, migrating tables, enabling updates
Log analysis on Hive, accessing HBase tables using Hive, hands on exercises

6. Oozie

What Oozie is and its architecture
Kinds of Oozie jobs and kinds of nodes
Configuring an Oozie workflow
Developing and running workflows with MapReduce, Hive and Sqoop

7. Spark

Introduction and architecture
Functional programming and collections
Spark Streaming
Spark SQL
Spark MLlib

8. Google Cloud Compute Engine and Dataproc

Module 12: creating a Compute Engine project, enabling billing, adding team members, Compute Engine resources and how to manage them
Module 13: the Hadoop ecosystem, running Hadoop on Cloud Dataproc, Cloud Storage instead of HDFS, optimizing Dataproc

Big Data Training Fees and Learning Formats

All formats include the same curriculum and projects.

Swipe sideways to compare all three formats →

	Self Paced	Most Popular Live Online	Classroom
Recorded Content	✓	✓	✓
Live Classes	Not included	✓	✓
Trainer Support	Limited	✓	✓
Projects	✓	✓	✓
Career Support	[Specify]	✓	✓
Access	Lifetime	[Duration]	[Duration]
Price	₹5,000 or ₹[X,XXX] per month EMI	₹22,000 or ₹[X,XXX] per month EMI	₹22,500 or ₹[X,XXX] per month EMI

Talk to an Advisor

What happens after you enquire?

1

Submit enquiry

2

Advisor calls you

3

Discuss background & goals

4

Choose suitable batch

5

Complete enrollment

6

Start learning

Frequently Asked Questions

Who can join this big data course?

Software engineers, data engineers, ETL developers, data scientists, analytics professionals and graduates who want to start in big data can join. The course begins with Linux and SQL, so you do not need earlier Hadoop experience. If you are unsure about your programming background, speak with the learning team before you enrol.

What is the big data course duration?

The course runs for 5 months.

What is the big data course fee?

The live online course fee is ₹22,000. The classroom fee is ₹22,500. The self paced course costs ₹5,000. Contact the learning team for EMI details.

Is this a data engineering course?

It covers core tools used in data engineering: Linux, SQL, HDFS, Hive, Sqoop, Oozie, Spark and GCP Dataproc. It is a big data focused course and does not cover every tool a data engineer may use. For a cloud focused path, see our Google Cloud course and AWS course.

Does the course cover big data analytics?

Yes. You analyse data with HiveQL and Spark SQL, run log analysis on Hive and get an introduction to Spark MLlib.

Do I get a big data certification?

You receive a Prwatech certificate of completion, and it is included in the course. It is a course certificate and not a vendor exam. This is a big data certification course from Prwatech, and it does not prepare you for a vendor exam.

Is Hadoop still worth learning?

Many companies still run Hadoop based systems, and Spark is widely used for large scale processing, including on cloud platforms. The ideas you learn here, such as distributed storage and parallel processing, carry over to cloud data platforms. That is why the course moves from Hadoop to Spark and then to GCP Dataproc.

Do you provide job assistance?

Learners who pass the screening test receive interview calls. We also help with your CV and with interview preparation. We do not guarantee a job offer.

What if I miss a live class?

Every class is recorded and uploaded to your LMS. Earlier class recordings and presentations are also available to you.

How do I compare this big data training with other institutes?

Compare four things: course length, tools covered, fee and what the fee includes. This course runs 5 months, covers Linux, SQL, Hadoop, Hive, Spark and GCP Dataproc, costs ₹22,000 online, and includes LMS access, class recordings, technical support and a certificate.

Start Your Big Data Training

Get the complete curriculum and speak with a learning advisor about the right learning format for you.

Download Curriculum Book a Free Demo Class

Big Data and Data Engineering Online Course with Certification

Who Should Take This Big Data Course?

Software Engineers

Data Engineers and ETL Developers

Data Scientists and Analytics Professionals

Graduates

What You Will Learn in the Big Data Course

Hands On Big Data Projects

Hadoop Data Loading

MapReduce Programming

Log Analysis on Hive

Big Data Career Roles After This Course

How Prwatech supports your job search

CV Help

Interview Preparation

Real Time Project

Screening Test

Job Assistance

Why Learn Big Data with Prwatech

Big Data Trainers

[Trainer Name]

[Trainer Name]

Student Reviews

Big Data Course Syllabus

Big Data Training Fees and Learning Formats

What happens after you enquire?

Frequently Asked Questions

Start Your Big Data Training

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