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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 14: Hadoop for Data Warehousing Professional

4.1 ( 11 )


Lecture Details

Watch the sample class recording
httpwww.edureka.cobig-data-and-hadoop?utm_source=youtube&utm_medium=referral&utm_campaign=datawarehousing-hadoop

Hadoop simplifies your job as a Data Warehousing professional. With Hadoop, you can manage any volume, variety and velocity of data, flawlessly and comparably in less time. As a Data Warehousing professional, you will undoubtedly have troubleshooting and data processing skills. These skills are sufficient for you to be a proficient Hadoop-er. Some of the topics covered are as follows

1. What is Big data
2. Traditional Data warehousing solutions
3. Problems
4. Data warehousing and Hadoop
5. Hadoop for Big Data
6. Hadoop and MapReduce
7. Why Hadoop for Big data
8. Use cases
9. Where to use what

Related posts
httpwww.edureka.coblogapplying-hadoop-with-data-science?utm_source=youtube&utm_medium=referral&utm_campaign=datawarehousing-hadoop

httpwww.edureka.coblogintroduction-to-apache-hive?utm_source=youtube&utm_medium=referral&utm_campaign=datawarehousing-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 ‘Hadoop for Data warehouse professional’ have been covered in our course ‘Big Data and Hadoop ‘.
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

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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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