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PT15185
Training Summary
This course is designed for big data analysts who want to use the HBase NoSQL database which runs on top of HDFS to provide real-time read/write access to sparse datasets. Topics include HBase architecture, services, installation, and schema design.
Prerequisites
Before taking this course, students must have basic familiarity with data management systems. Familiarity with Hadoop or databases is helpful but not required. Students new to Hadoop are encouraged to attend the HDP Overview: Apache Hadoop Essentials course.
Duration
2 Days/Lecture & Lab
Audience
This course is designed for architects, software developers, and analysts responsible for implementing non-SQL databases in order to handle sparse data sets commonly found in big data use cases.
Course Topics
Using Hadoop and MapReduce
- Using HBase
- Importing Data from MySQL to HBase
- Using Apache ZooKeeper
- Examining Configuration Files
- Using Backup and Snapshot
- HBase Shell Operations
- Creating Tables with Multiple Column Families
- Exploring HBase Schema
- Blocksize and Bloom filters
- Exporting Data
- Using a Java Data Access Object Application to Interact with HBase