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Big Data Hadoop Training
Take your first step towards a new career in the field of Big Data. With our Big Data analytics certification course, learn how to drive better business decisions with an overview of how big data is organized, analyzed, and interpreted using tools like Ha
-
120+
Hours -
665
Learners -
24x7
Online LMS -
Hands-on
Exercises
120+
Hours
Hours
665
Learners
Learners
24x7
Online LMS
Online LMS
Hands-on
Exercises
Exercises
-
Knowledge
Partner
₹
7,900
Ask us everything about the program
Big Data Hadoop Training
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Overview
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Lucrative Career Option73% of organizations have already invested or plan to invest in big data. -
Job OpportunitiesComplete the Hadoop online training become eligible for over 1,500,000 jobs. -
Who Should AttendBeginners in analytics domain, engineering & non-engineering graduates. -
Salary PackagesThe average salary for an entry-level Big Data engineer is ₹5 lakhs per annum. -
Expert FacultyThe Big Data certification course is taught by eminent big data experts.
Lucrative Career Option
73% of organizations have already invested or plan to invest in big data.
Job Opportunities
Complete the Hadoop online training become eligible for over 1,500,000 jobs.
Who Should Attend
Beginners in analytics domain, engineering & non-engineering graduates.
Salary Packages
The average salary for an entry-level Big Data engineer is ₹5 lakhs per annum.
Expert Faculty
The Big Data certification course is taught by eminent big data experts.
About Course
Are you interested in increasing your knowledge in the Big Data landscape and becoming a certified Big Data professional? Most modern businesses now have access to massive amounts of data which they are extensively using to guide their decision-making process. And Hadoop, one of the most popular open-source Big Data framework has made big data analysis easier and more accessible - increasing its potential to transform the world!
Manipal ProLearn’s course in Big Data Analytics using Hadoop will help you to understand the A to Z of Big Data and Hadoop analytics. You’ll also be able to go into the depth of other advanced Big Data technologies such as SPARK, Storm, and Kafka etc. A complete understanding of these technologies would enable you to work as a Big Data engineer and explore the world of analytics & data sciences.
What skills you learn
After completing the Big Data Analytics using Hadoop online training, you’ll be considered as a strong and competent Big Data engineer. The big data analytics with Hadoop course will help you to:
- Understand what is Big Data and the sources of Big Data.
- Appreciate the need for a platform like Hadoop.
- Overview of the technological landscape of Big Data.
- Demonstrate the ability to quickly perform ad-hoc analysis of Big Data (structured and unstructured).
- Overcome the limitations of standalone tools like Excel & R.
Who Should Attend this course
Beginners in the analytics domain
Engineering graduates
Non-engineering graduates
Big Data analytics aspirants
Beginners in the analytics domain | Engineering graduates |
Non-engineering graduates | Big Data analytics aspirants |
Key Features
Learn from real-life case studies
Develop analytical and decision-making skills by examining real-life case studies.
Comprehensive Course Curriculum
Learn all the fundamentals of Big Data Analytics & Hadoop through videos, case studies, reading material, and real-time simulations.
Live Streaming Data
Learn how to process live streaming data from social media platforms like Facebook, Twitter, YouTube etc.
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Course Curriculum
1.1 Introduction to Big Data and Hadoop
Introduction
Challenges of Processing Big Data
Distributed Systems
History of Hadoop
Hadoop Overview
Ecosystem of Hadoop
HDFS and MapReduce Paradigm
Processing Pipeline
Big Data Technologies
Use Cases
Features of Hadoop
Summary
1.2 Hadoop Environment Setup
Introduction
Hadoop Installation and Configuration
Hive Installation and Configuration
Pig Installation and Configuration
Sqoop Installation and Configuration
Oozie Installation and Configuration
Flume Installation and Configuration
Hbase Installation and Configuration
Hue Installation and Configuration
1.3 HDFS Operations
Introduction
HDFS commands
Basic HDFS commands demo
Read anatomy in HDFS
Write anatomy in HDFS
Additional HDFS commands demo
HDFS permission management
HDFS permission management demo -Part 1
HDFS permission management demo -Part 2
2.1 Architecture of Map-Reduce
Introduction
Traditional approach
Overview of map reduce (MR1)
System architecture of map reduce (MR1)
Introduction to YARN
Map-Reduce job execution in YARN (MR2/Hadoop 2.x)
2.2 Map-Reduce job execution
Introduction
Job flow
Job submission
Job initialization
Job scheduling
Map task execution
Sort and shuffle
Reduce task execution
Job clean-up
Scheduler
3.1 Apache Pig
Introduction
Map Reduce and PIG
Modes of execution in PIG
Pig client
Data types in PIG
Operators in PIG
Pig Usage
Loading data into PIG demo
Pig dialects
Transformations in PIG demo
Debugging in PIG demo
Other capabilities in PIG demo
3.2 Real Time Deployment and Distribution
Real time deployment introduction
System architecture
Logical deployment overview
Physical deployment overview
Real time deployment summary
Big data software and tools introduction
Streaming tools
NoSQL tools
Administration tools
Other ecosystem tools
Big data software and tools summary
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