HDP Developer: HBase Essentials

HDP Developer: HBase Essentials

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.

About this course

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. 

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. 

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.  

Format:
Live Instructor Lecture and Hands-On Labs

 

How to Register:

  1. Click the  "Purchase" button at the top of the page to initiate your purchase
  2. After you have completed your purchase and registration, you will be able to select the event that you wish to attend from the classes scheduled below after logging into your account

Curriculum

  • Course Logistics
  • HDP Developer: HBase Essentials Live Training Schedule
  • Lesson 1:
  • Hadoop Primer
  • Lab Guide: Running a MapReduce Job
  • Lesson 2:
  • Apache HBase Overview
  • Lab Guide: Using HBase
  • Lab Guide: Importing Tables from MySQL into HBase
  • Lesson 3:
  • HBase Architecture
  • Lab Guide: Zookeeper
  • Lesson 4:
  • HBase Services and Operations
  • Lab Guide: Examining HBase Configuration Files
  • Lesson 5:
  • HBase Command Line Interface
  • Lab Guide: Using HBase Shell Commands
  • Lesson 6:
  • HBase Installation and Configuration
  • Lab Guide: Backups and Snapshots
  • Lab Guide: Exporting with Pig and Import with ImportTsv
  • Lesson 7:
  • HBase Schema Design
  • Lab Guide: Column Families
  • Lab Guide: Exploring the Case Study
  • Lesson 8:
  • HBase Optimizations
  • Lab Guide: Setting Blocksize and Enabling Bloomfilters
  • Demonstration: Using Java Data Access Objects
  • Wrapping Up
  • Course & Instructor Survey

About this course

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. 

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. 

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.  

Format:
Live Instructor Lecture and Hands-On Labs

 

How to Register:

  1. Click the  "Purchase" button at the top of the page to initiate your purchase
  2. After you have completed your purchase and registration, you will be able to select the event that you wish to attend from the classes scheduled below after logging into your account

Curriculum

  • Course Logistics
  • HDP Developer: HBase Essentials Live Training Schedule
  • Lesson 1:
  • Hadoop Primer
  • Lab Guide: Running a MapReduce Job
  • Lesson 2:
  • Apache HBase Overview
  • Lab Guide: Using HBase
  • Lab Guide: Importing Tables from MySQL into HBase
  • Lesson 3:
  • HBase Architecture
  • Lab Guide: Zookeeper
  • Lesson 4:
  • HBase Services and Operations
  • Lab Guide: Examining HBase Configuration Files
  • Lesson 5:
  • HBase Command Line Interface
  • Lab Guide: Using HBase Shell Commands
  • Lesson 6:
  • HBase Installation and Configuration
  • Lab Guide: Backups and Snapshots
  • Lab Guide: Exporting with Pig and Import with ImportTsv
  • Lesson 7:
  • HBase Schema Design
  • Lab Guide: Column Families
  • Lab Guide: Exploring the Case Study
  • Lesson 8:
  • HBase Optimizations
  • Lab Guide: Setting Blocksize and Enabling Bloomfilters
  • Demonstration: Using Java Data Access Objects
  • Wrapping Up
  • Course & Instructor Survey