Big data analytics training
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This document outlines the topics covered in a big data analytics training course, including an introduction to big data and Hadoop, Hadoop concepts like HDFS, MapReduce, Pig, Hive, Oozie, and HBase. Real-life use cases and how to develop MapReduce applications are also covered. Contact information is provided for those interested in the training.
Big data analytics training
- 1. big data analytics 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 analytics training • CONTACT US: • Call : • india +91-9052666559 • USA:+1-6786933994, 6786933475 • Mail :info@magnifictraining.com • Visit : www.magnifictraining.com
- 3. big data analytics training • ADpevpelilcoaptiinogn st he map-reduce • Pig concepts • Hive concepts • Oozie workflow concepts • HBASE Concepts • Real Life Use Cases
- 4. big data analytics 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 analytics training • Use Cases of Hadoop • Histiry of Hadoop • Hadoop eco systems • Hdfs • Map reduce • Statistics
- 6. big data analytics training • Understanding the Cluster • Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness
- 7. big data analytics 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 analytics training • Developing the Map Reduce • Application • Data Types • File Formats