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Big Data Hadoop - The Complete Course

If you are curious to know how your data is being stored and used on Amazon, flip kart, etc? Get ready to work with real datasets alongside real masters.

  1. 4.5
  2. (535 ratings)
  • 4,923 Students
  • Last Update 4/2020
  • English
  • English {Auto}

Big Data Hadoop - The Complete Course

  1. 24999
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    • Best online HR Management course
    5000+ Students
  • 15+ Hours on-demand Video
  • Certificate of completion
  • Projects Included
  • Taught by Industry Pros

What you'll learn

  • Be proficient with Hadoop, HDFS, Map Reduce, Sqoop, Impala, Apache Pig, Spark, Hive and ZooKeeper, Kafka, Cassandra and Hbase, Bigdata in the cloud (AWS), etc
  • Understand Big Data Hadoop concepts
  • Storing data using HDFS, concepts of blocks and replication in HDFS
  • Concepts related to storing and processing of data in a distributive manner.
  • Learn Mapreduce framework working for processing of data.
  • Use Sqoop to transfer data from various relational databases to HDFS.
  • Learn Pig that enables data workers to write complex data transformations
  • How Zookeeper manages clusters in distributive systems.
  • Have insight learning of dealing with structured data using Hive and Impala.
  • Use of Spark for various applications using RDD’s, Dataframes and Dataset API’s
  • Using Spark with SQL
  • NoSQL databases like Hbase
  • Gain Real-world skills required for the job in any IT company
  • Learn Hadoop ecosystem required to deal with real-world problems


Best-in-class content by leading faculty and industry leaders in the from of videos, cases and projects,assigments and live sessions

best data science courses Noida
6 month practical internship
  • A Ph.D. or a Master’s degree is not mandatory to learn Hadoop technology.
  • Basic SQL, Linux, Java is good to learn this technology
  • No software license is required
  • Hardware Requirements to Learn Hadoop
    • Intel Core 2 Duo/Quad/hex/Octa or higher end 64-bit processor PC laptop (Minimum operating frequency of 2.5GHz)
    • 8 GB or more RAM This hardware configuration is recommended.
6 month practical internship

This Big Data Hadoop - The Complete Course course covers the topics from the basic level of beginner till the advanced professional levels required for Big Data Hadoop Certification.

This course mainly aims at having insight learning of all big data technologies. It covers Hadoop concepts related to HDFS and Map reduce indicating the process of storing data in a distributive way and technologies required to process the data. YARN was introduced in Hadoop 2 for resource management and is also being used by Spark now. Transfer of data using Sqoop and processing of structured data using Hive and Impala with SQL like language are the concepts covered in this course. Knowledge about different file formats being used and compression techniques involved for data, usage of various APIs of Spark to process our data at higher speed are also elaborated in this course. This course will give you insights into all the big data technologies which are used at a professional level. It’s a must have a course for being a Big Data expert.

Come join this course for a secure career!

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  1. 4.5

Very good for beginners like me. It really helped in getting the overall concepts in Hadoop like configuration, workflow tools, etc clarified for me. Thank you so much.

  1. 4.5

It is a great course. It helps students to understand the Hadoop ecosystem. This valuable knowledge certainly helps students to jump into any advanced topics of big data.


Glen R.J. Mules - Senior Instructor, IBM
Sudaroli Vijayakumar
Freelance Trainer

I am not sure if "I desired to be a teacher I destined to be a teacher I grew as a teacher But now I always want to teach something" Passionate teacher who don't mind teaching anything to any grade.

Dr. Deepika Sharma - Training Head, Datatrained
Dr. Deepika Sharma
Training Head, Datatrained

Dr. Deepika Sharma has been associated with academics /corporate education for more than 10 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning.

Shankargouda Tegginmani - Data Scientist, Accenture
Shankargouda Tegginmani
Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Why Take this Course

  • If you are excited to start your career in Big data field. Come and learn with us.
  • Big data revolution is creating tremendous job opportunities.
  • This course is designed with a practical approach and has detailed lectures.
  • Full-fledged course covering all the core and advanced concepts related to Big data technologies.
  • Start as a newbie and become a professional in Big data technology.
  • This course contains demos you can try out on your own machine.
  • Become a professional with real time experience in solving queries.
  • We provide full guidance through file systems and their applications
  • Develop skills to apply these tools to create solutions in finance, social networks, telecommunications, and many other fields.
  • Go for Big Data Hadoop Certifications

100% online

Global Certification

Flexible deadlines


Gain insights on how to run better businesses and provide better services to customers

Get recommendations on how to process big data on platforms that can handle the volume, velocity, variety and veracity of Big Data

Learn why Hadoop is a great Big Data solution and why it's not the only Big Data solution

Course Content
Module 1 - What is Big Data?
  • Characteristics of Big Data
  • What are the V’s of Big Data?
  • e Impact of Big Data
Module 2 - Big Data - Beyond the Hype
  • Big Data Examples
  • Sources of Big Data
  • Big Data Adoption
Module 3 - The Big Data and Data Science
  • The Big Data Platform
  • Big Data and Data Science
  • Skills for Data Scientists
  • The Data Science Process
Module 4 - Use Cases
  • Big Data Exploration
  • The Enhanced 360 View of a Customer
  • Security and Intelligence
  • Operations Analysis
Module 5 - Processing Big Data
  • Ecosystems of Big Data
  • The Hadoop Framework

Learn the history of Apache Spark™, how it came to be, how to build applications with Spark, how establish an understanding of RDDs and DataFrames, and other advanced Spark topics.

Course Content
  • Module 1 - What is Spark?
  • Module 2 - Introduction to RDDs
  • Module 3 - Introduction to DataFrames
  • Module 4 - Advanced Spark Topics
  • Module 5 - Introduction to Spark MLlib

Comprehensive Curriculum

The curriculum has been designied by faculty from Great Lakes and UT Austin McCombs School of Business.


                                 Hours of Content--- best institute for data science lucknow

Hours of Content


                                 Live Sessions--  data science training lucknow

Live Sessions


                                 Tools and Software- data science institute lucknow

Tools and Software

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