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- Accessible Trainers - Enhance your learning Experience by Directly Interacting with Trainers.
- Flexible Timings - Customize the learning schedule to your needs
- Linguistic Diversity - Course offered in regional indian languages
- Repeating the course to improve your skills? - Get 30% Discount!
- Profile listing at AICRA for Industrial Placement
- Introductory Scholarship Offer 30% OFFs
Students from all background.
Professionals with analytics and data management profile.
Business Intelligence Professionals.
Project Managers.
Data Scientists.
Professionals from testing and mainframe background.
Though Big data & Hadoop technology provides wide range of career options to name few:
Hadoop Admin
Hadoop Developer
Data Scientist
Software engineers
Business Analyst
Devops
Though Big data & Hadoop technology provides wide range of career options to name few:
Hadoop Admin
Hadoop Developer
Data Scientist
Software engineers
Business Analyst
Devops
CURRICULUM
- What is Hadoop?
- What is Big data?
- What comes under big data?
- What are the challenges for processing big data?
- Traditional Approach and its Limitation
- What are the benefits of big data?
- What technologies support big data?
- Solution of big data
- Hadoop Architecture
- Advantages of Hadoop
- What is HDFS
- Where to use HDFS
- Where not to use HDFS
- Features of HDFS
- HDFS Architecture
- HDFS Concepts
- HDFS Architecture 1.x and its daemons
- HDFS Architecture 2.x and its daemons
- HDFS Federation
- HDFS High availability
- Scheduler
- Rack Awareness
- HDFS commands
- What is MapReduce
- Why MapReduce
- How MapReduce work
- Partitioners
- Combiners
- Hadoop Streaming
- Failures in MapReduce
- Introduction to YARN
- Limitation of Current Architecture
- Apache Hadoop Yarn Concepts & Applications
- JobSubmission and Job Initialization
- Failure Handling in YARN
- Task Failure
- Application Master Failure
- Node Manager Failure
- Resource Manager Failure
- What is hive
- Features of Hive
- Architecture of Hive
- Working of Hive
- What is Schema on Write?
- What is Schema on Read?
- Advantages of Schema on Write
- Advantages of Schema on Read
- Disadvantages of Schema on Write
- Disadvantages of Schema on Read
- Hive datatypes
- Hive Statements
- What is pig?
- Why Do We Need Apache Pig?
- Features of Pig
- Pig Architecture
- Apache Pig Vs MapReduce
- Apache Pig Vs SQL
- Apache Pig Vs Hive
- pig run modes
- Pig latin concepts
- Pig Data Types
- Pig operators
- Introduction
- Working of sqoop
- Sqoop Commands
- Apache Flume - Introduction
- Applications of Flume
- Advantages of Flume
- Features of Flume
- Apache Flume - Data Transfer In Hadoop
- Apache Flume - Architecture
- Apache Flume - Data Flow
- Apache Flume - Sequence Generator Source
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