Hbase

Relational Databases are so stuffy and old! Welcome to HBase - a database solution for a new age.

HBase: Do you feel like your relational database is not giving you the flexibility you need anymore? Column oriented storage, no fixed schema and low latency make HBase a great choice for the dynamically changing needs of your applications.

What`s Covered:

• 25 solved examples covering all aspects of working with data in HBase
• CRUD operations in the shell and with the Java API, Filters, Counters, MapReduce.
• Implement your own notification service for a social network using HBase.
• HBase and it`s role in the Hadoop ecosystem, HBase architecture and what makes HBase different from RDBMS and other Hadoop technologies like Hive.

Who This Course Is For:

• Yep! Anyone who is interested in understanding HBase, NoSQL and distributed database management
• Yep! Engineers who want to move away from RDBMS and use HBase for their database solution
• Yep! Folks who are using Hadoop ecosystem tools for analytical processing and want a single system for both OLAP and OLTP

Curriculum:

• What is HBase and why to use it?
• Components and Architecture of HBase
• Difference between RDBMS and HBase
• Introduction to HBase Tables and Shells
• Introduction to NoSQL
• Why NoSQL
• NoSQL Databases and features
• Building blocks of HBase
• Table and Column families of HBase
• Data model in Hbase
• Core components of HBase cluster
• Reading and Writing data in HBase
• Compaction and Data Flushes
• Primary and Advanced operations in HBase
• HBase Tables and Shells
• CRUD operations on Tables
• Integration of Hive with HBase
• Processing HBase data using MapReduce
• Load HBase Utilities
• Column Family and Schema Design Considerations
• Pre-Splitting Region
• Cache Configuration