Generative AI  /  Beginner to Mastery

Big Data with Hadoop & Spark Course

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Course Duration

200 Hours

 

Course Material

Live. Online. Interactive.

Stay current with the latest big data technologies and best practices.

Designed for both working professionals and fresh graduates

High Demand and Career Opportunities

Competitive Edge and Innovation

KEY HIGHLIGHTS OF BIG DATA WITH HADOOP & SPARK COURSE PROGRAM

1) Weekly sessions with industry professionals

2) Dedicated Learning Management Team

3) 200 hours of hands-on learning experience

4) 80 hours of self-paced Learning

5) Learn from IIT Faculty & Industry experts

6) More than 25+ industry-related projects and case studies

🔺24*7 Support

🔺1:1 Mock Interview

🔺Designed for both working professionals and fresh graduates

🔺Competitive Edge and Innovation

🔺 Personalised mentorship sessions with industry experts

🔺Dedicated Learning Management Team

🔺No-Cost EMI Option

🔺High Demand and Career Opportunities

🔺Problem-Solving and Critical Thinking

WHY JOIN BIG DATA WITH HADOOP & SPARK COURSE PROGRAM?

Cutting edge Curriculum

Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.

Build a solid foundation

40 hours focused course on Big Data Frameworks.

On the Go learning

Online accessible E-learning Material, recorded lectures, case studies and Research Paper through our system.

Industry mentorship

Get 1 to 1 guidance from Industry experts and start your career in Data Science.

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Big Data with Hadoop & Spark Course OVERVIEW

This program is specially designed to give a strong foundation to those who want to learn BigData. You will get a brief knowledge of HDFS Architecture, Spark, Flume, and Hive. After completing this course, you will be able to collect, organize, and extract unstructured data from large databases.

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Big Data with Hadoop & Spark Course Objectives

The Program is focused on preparing you to effectively control and analyze large datasets. It deals with learning Java for programming mastering, understanding distributed data processing using Hadoop ecosystem and Apache Spark used to deliver real-time analytics as well as NoSQL databases such as MongoDB. By the end, participants will be prepared to apply these tools in building scalable big data solutions.

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Why Learn Big Data with Hadoop & Spark Course ?

 

IN-DEMAND SKILLS

You should have experience in Java, Hadoop, Spark and NoSQL databases which are much needed technologies for the big data industry.

CAREER ADVANCEMENT

Expand into data engineering, big data analytics and related fields.

HANDS-ON IMAGE CREATION

Walk through notional examples and utilize production grade tools that leading companies use to wrangle large datasets, manage experiments, and process data.

REAL-WORLD APPLICATIONS

Work on industry-based case studies and projects to understand how big data is applied in finance, healthcare, e-commerce, and more.

HIGH SALARY POTENTIAL

Big data professionals are among the most well-paid in the tech industry due to the specialized nature of their skills.

FUTURE-PROOF CAREER

With the exponential growth of data, expertise in Hadoop and Spark ensures long-term career relevance and opportunities.

COMPREHENSIVE LEARNING

Learn all big data technologies, from storing and processing to real-time analytics.

SCALABLE SOLUTIONS

Develop scalable big data solutions that can handle the increasing amounts of information in our data-driven world.

Program Advantages

✅Gain expertise in essential big data tools: Java, Hadoop, Spark, and NoSQL databases.

✅ Learn industry-relevant technologies for data processing and real-time analytics.

✅ Master scalable solutions for managing and analyzing large datasets.

✅Build versatile skills in handling structured and unstructured data.

✅ Enhance your career prospects with hands-on experience and in-demand skills.

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Big Data with Hadoop & Spark Course Program Certifications

Big Data with Hadoop & Spark Course Curriculum

Module 01 - NoSQL
Lecture 01: Introduction, SQL vs NoSQL, Data Model, Data Types, Object ID, Data Type, Binary Data, Date, Null, Boolean, Integer, String
Lecture 02: Collection Methods, Queries, CRUD Operations (Insert, Find, Update, Delete), Validate, Bulk Write, Delete One
Module 02 - Java
Lecture 03: Introduction to Java, Installation, Syntax (main()/println()/print()), Variables (String, Int, Boolean, Float, Char), Data Types, Operators
Lecture 04: Conditions, Loops, Methods, Classes, File Handling

 

Module 03 - Introduction to Biga Data & Hadoop
Lecture 05: Types of Data, Introduction to Big Data (History, V’s of Big Data, Advantages & Disadvantages), Big Data Applications in Various Sectors, Introduction to Hadoop, Scaling (Horizontal and Vertical), Challenges in Scaling, Parallel Computing, Distributed Computing, Hadoop Tools Overview, Big Data Analytics Lifecycle
Lecture 06: On-Premises Installation of Oracle Virtual Box, Setup of VM & Ubuntu, Basic Linux Commands, Download and Installation of Hadoop, Introduction to Hadoop, Core Components of Hadoop, Hadoop Working Principles
Lecture 07: VM Creation on Cloud (Azure), Configuration & Insight into Single Node Hadoop Deployment (bsshrc, hadoop-env, core-site, hdfs-site, mapred-site, yarn-site), Format HDFS Namenode
Lecture 08: HDFS Architecture, Hadoop Commands and Implementation
Lecture 09: MapReduce, MapReduce Implementation
Lecture 10: Introduction to Hive, Hive Installation, Hive Implementation
Lecture 11: Hive Query Language, SQL Operations
Lecture 12: Hive SQL Operations
Module 04 - Spark
Lecture 13: Installation of Spark, PySpark, Introduction to Sqoop, Installation of Sqoop
Lecture 14: PySpark Query, Installation of Hbase, Hbase Query
Lecture 15: PIG Installation and Query
Lecture 16: PIG Query, Oozie
Lecture 17: Flume and Doubt Clear

 

Big Data with Hadoop & Spark Course Skills Covered

Big Data with Hadoop & Spark Course Tools Covered

Big Data with Hadoop & Spark Course Program Benefits

Hands-On Experience
Get hands-on experience in Hadoop, Spark, NoSQL databases.

 

Comprehensive Skill Development
Master essential tools and technologies for big data management and analytics.

 

Career Advancement

Finally, boost that resume with high demand skills and open up doors for higher-earning positions.

Real-Time Data Processing

Understand data in motion processing and gain an advantage over the competition by learning how to process real-time incoming information.

Scalable Solutions

One should have the capability of creating an efficient solution that can easily scale.

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.