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Big Data and Hadoop

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Updated On 02 Feb, 19

Overview

Introduction to Big Data & Hadoop - Big Data Learning Paths - Hadoop Tutorial for Beginners - Hadoop MapReduce Tutorial - Big Data - Hadoop - Introduction to MapReduce - MapReduce Programming Tutorial - Fundamentals of Hadoop MapReduce - Understanding Hadoop MapReduce - Hadoop Tutorial - What is Big Data - Big Data Explained - Hadoop & MapReduce - MapReduce Tutorial - Hadoop distributed cache - Advanced mapreduce - What is Big Data? - Why Learn Hadoop ? - Hadoop 2.0 Features - What is Hadoop - Hadoop Tutorial for Beginners - Hadoop Tutorial - What is Hadoop - Hadoop Basics - Hadoop for Beginners - Hadoop for Data Warehousing Professional - De-Identify Mapreduce Code - Mapreduce Tutorial - What is Hive - Why Hive - Apache Hive Tutorial - Understanding Concepts of Advanced Hive - Hive Scripting - Apache Hive Tutorial - Introduction to Apache Hive - Understanding Hive Commands in Apache Hadoop - Hive Data Model - Introduction to Sqoop - Demo on Hadoop Flume - Intro To Hadoop Developer Training - Cloudera - Introduction to Hadoop Zookeeper - Introduction to HBase - Intro To Hadoop Developer Training - Hadoop installation on ubuntu - TDD Using Pig Unit - Demo - Hadoop Pig Tutorial - What is Pig Unit & Why Unit Test Pig - Hadoop Pig Tutorial - What is Big data - Why learn Hadoop - Big data and Hadoop Tutorial - Learn Hadoop - What is HBase - Why Hbase - Hbase Tutorial - What is Oozie in Hadoop - Introduction to Advanced MapReduce - Advanced MapReduce Programming Tutorial - Hadoop Distributed Cache - Advanced Mapreduce Tutorial - Combiner & Partitioner in Hadoop - Hadoop Mapreduce Tutorial - Learn Hadoop - Debugging using MRUnit Testig Framework - Hadoop Tutorial for Beginners - Joins in Hadoop Mapreduce - Mapside Joins - Reduce Side Joins - Hadoop Mapreduce - Tutorial - Setup Pig on cloudera - Pig Installation Tutorial - What is Pig and Why Pig | Pig Explained - Hadoop Pig Tutorial - Demonstrating Word Count Example Using Pig Grunt Shell - Hadoop Pig Tutorial - Hbase Architecture - Pig vs Hive ? - Hadoop Vs Traditional Database Systems - Hadoop Data Warehouse - Hadoop and ETL - Hadoop Data Mining - Big Data Tutorial - Hadoop Training - Big Data Training - What is Hadoop? - Hadoop 1.x Arch Challenges - Hadoop 2.0 Architecture - YARN - Hadoop Jobs - Introduction to Hadoop Ecosystem - Introduction to Hdfs - Demo on big data applications - Demo on Hadoop Technology

Includes

Lecture 26: Intro To Hadoop Developer Training

4.1 ( 11 )


Lecture Details

Watch Sample Class recording httpwww.edureka.cobig-data-and-hadoop?utm_source=youtube&utm_medium=referral&utm_campaign=Hadoop_developer_training

Hadoop Developer Training involves in-depth conceptual learning of MapReduce, PIG, Hive, Hbase, and a lot more. The video explains in detail the practical application and functioning of those concepts with relevant cases and examples, mainly covering the following topics
1. Solving the problem with MapReduce
2. The Traditional way
3. MapReduce Paradigm
4. Need of Pig
5. Why was Pig created?
6. Why go for Pig when there is MR?
7. What is Pig?
8. How Yahoo uses Pig?
9. Use case in Healthcare
10. Hive Background
11. Hive use case Facebook
12. Hive use case in Healthcare
13. What is Hive?
14. Where to use Hive?
15. Hive Architecture
16. Hive Components
17. Masterstore Hive Service JVM
18. HBase Definition
19. When not to use HBase
20. Facebook Messaging System
21. Companies using HBase
22. HBase Components
23. HBase Storage Architecture
24. HBase Storage Simpler
25. Compactions

Related Posts
httpwww.edureka.coblogwhat-is-big-data-and-why-learn-hadoop
httpwww.edureka.coblogwhat-is-hadoop
httpwww.edureka.coblog5-reasons-to-learn-hadoop

Edureka is a New Age e-learning platform that provides Instructor-Led Live Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
The topics related to sqoop are extensively covered in our Big data and Hadoop course.
For more information, please write back to us at sales@edureka.co
Call us at US 1800 275 9730 (toll free) or India +91-8880862004

Ratings

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Comments
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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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