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INSTRUCTOR-LED COURSE

HDP Analyst Apache HBase Essentials

Course Information

Duration: 2 days

Version: HW DEV-303

Price: $1,750.00

Certification:

Exam:

Learning Credits:

ALL DATES GUARANTEED

Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.

COURSE DELIVERY OPTIONS

  • Live Classroom

Train face-to-face with the live instructor.

  • Established HD-ILT Location

Interact with a live, remote instructor from a specialized, HD-equipped classroom near you.​

  • Virtual Remote

Attend the live class from the comfort of your home or office.

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OVERVIEW

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:

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.

 

Target Audience:

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 Objectives:

By the end of class, students will be able to:

  • How HBase integrates with Hadoop and HDFS
  • Architectural components and core concepts of HBase
  • HBase functionality
  • Installing and configuring HBase
  • HBase schema design
  • Importing and exporting data
  • Backup and recovery
  • Monitoring and managing HBase
  • How Apache Phoenix works with HBase
  • How HBase integrates with Apache ZooKeeper
  • HBase services and data operations
  • Optimizing HBase Access


Format

35% Lecture/Discussion

65% Hands-on Labs

 

Course Outine:

Hands-On Labs
  • 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

 

 

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