Bigdata training
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This document provides an overview and outline for a big data and Hadoop training course. The course will cover introductions to big data concepts and Hadoop, components of the Hadoop ecosystem including HDFS, MapReduce, Pig, Hive, Oozie, and HBase. It will also discuss real-life use cases and walk through examples like word count problems to demonstrate MapReduce concepts and workflows. Contact information is provided for those interested in the training.
Bigdata training
- 1. Big data training Course Objective Summary *During this course, you will learn *Introduction to Big Data and Hadoop. *Hadoop ecosystem – Concepts. * Hadoop Map-features reduce concepts.
- 2. Big data training • CONTACT US: • Call : • india +91-9052666559 • USA:+1-6786933475 • Mail :info@magnifictraining.com • Visit : www.hadooponlinetraining.net
- 3. Big data training • ADpevpelilcoaptiinogn st he map-reduce • Pig concepts • Hive concepts • Oozie workflow concepts • HBASE Concepts • Real Life Use Cases
- 4. Big data training • Introduction to Big Data and • Hadoop • What is Big Data? • bWigh adta atare? • the challenges for processing • What technologies support big data? • What is Hadoop? • Why Hadoop?
- 5. Big data training • Use Cases of Hadoop • Histiry of Hadoop • Hadoop eco systems • Hdfs • Map reduce • Statistics
- 6. Big data training • Understanding the Cluster • Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness
- 7. Big data training • Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • pArlgoobrleitmhms s
- 8. Big data training • Developing the Map Reduce • Application • Data Types • File Formats