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
Lecture 1: Introduction to Big Data & Hadoop | Big Data Learning Paths | Hadoop Tutorial for Beginners
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Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications.The challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. With Hadoop, no data is too big.
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.
Topics covered in the Video
1.Big Data Learning Paths
2.Introducton to Big data
3.Hadoop and Its Eco-system
5.Next Step on How to Setup Hadoop
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All topics related What is Big Data and Why learn Hadoop have extensively been covered in our course ‘Big Data and Hadoop’.
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