Hadoop with Mapreduce
- Last updated 12 months ago
Hadoop is an open source tool that computes and stores large volumes of data useful for an enterprise. Hadoop is a highly scalable storage platform designed to process very large data sets across hundreds to thousands of computing nodes that operate in parallel. It provides a cost-effective storage solution for large data volumes with no format requirements.
Rated Top 3 in Analytics programs in the country, Praxis Business Schools has designed the program through its Industry veterans in the Analytics domain.
✓ Learn Hadoop architecture, configuration and Data loading techniques
✓ Learn to use the important Hadoop processing tool of Mapreduce and its principal components such as Hive.
KEY TOPICS COVERED:
✓ Introduction to Big Data and Hadoop
✓ Introduction to DBMS systems using MySQL
✓ Big Data and Hadoop Eco-System
✓ HDFS, Unix & HDFS Hands-on
✓ Map-Reduce basics, Map Reduce Advanced Topics and Hands on
✓ Pig introduction and Hands on
✓ Pig Scripting, Hive Introduction, Metastore, Limitations of Hive
✓ Comparison with Traditional Database and HIVE scripting
✓ Hive Data Types, Partitioning and Bucketing
✓ Hive Tables (Managed and External)
✓ Hive Continued, Scoop Introduction and Hands-on
✓ Introduction to NoSql and HBASE
✓ HBASE architecture and Hands-on
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