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Cloudera Training for Apache HBase

  • Tuition USD $1,815 GSA  $1,554.41
  • Reviews star_rate star_rate star_rate star_rate star_half 482 Ratings
  • Course Code CLOUD-APACHE-HBASE-OD
  • Duration 0 hours
  • Available Formats Self Paced

This OnDemand offering provides you with a 180-day subscription that begins on the date of purchase.

Prerequisites

This course is appropriate for developers and administrators who intend to use HBase. Prior experience with databases and data modeling is helpful, but not required. Knowledge of Java is assumed. Prior knowledge of Hadoop is not required, but Cloudera Developer Training for Apache Hadoop provides an excellent foundation for this course.

Course Details

Cloudera's training for Apache HBase is designed for developers and administrators already familiar with Apache Hadoop. Participants should be familiar with Hadoop's architecture and APIs and have experience writing basic applications. Cloudera's Hadoop Developer course provides all the necessary background required.

  • The use cases and usage occasions for HBase, Hadoop, and RDBMS
  • Using the HBase shell to directly manipulate HBase tables
  • Designing optimal HBase schemas for efficient data storage and recovery
  • How to connect to HBase using the Java API to insert and retrieve data in real time
  • Best practices for identifying and resolving performance bottlenecks

Subscription Details

This OnDemand offering provides you with a 180-day subscription that begins on the date of purchase. While the subscription is active, you will have unlimited access to the course training materials which includes recorded course lectures and demonstrations, assessment components, and hands-on exercise instructions. You will also receive 15 runtime hours of access to the online hands-on exercise environment accessible though web browser. You can start the exercise environment when you are ready to use it. You can stop or pause it when you are done for the time being, then return anytime to continue where you left off. The exercise environment remains accessible until you have used the runtime hours or the subscription period ends, whichever occurs first

Introduction to Hadoop and HBase

  • What Is Big Data?
  • Introducing Hadoop
  • Hadoop Components
  • What Is HBase?
  • Why Use HBase?
  • Strengths of HBase
  • HBase in Production
  • Weaknesses of HBase

HBase Tables

  • HBase Concepts
  • HBase Table Fundamentals
  • Thinking About Table Design

The HBase Shell

  • Creating Tables with the HBase Shell
  • Working with Tables
  • Working with Table Data

HBase Architecture Fundamentals

  • HBase Regions
  • HBase Cluster Architecture
  • HBase and HDFS Data Locality

HBase Schema Design

  • General Design Considerations
  • Application-Centric Design
  • Designing HBase Row Keys
  • Other HBase Table Features

Basic Data Access with the HBase API

  • Options to Access HBase Data
  • Creating and Deleting HBase Tables
  • Retrieving Data with Get
  • Retrieving Data with Scan
  • Inserting and Updating Data
  • Deleting Data

More Advanced HBase API Features

  • Filtering Scans
  • Best Practices
  • HBase Coprocessors

HBase on the Cluster

  • How HBase Uses HDFS
  • Compactions and Splits

HBase Reads and Writes

  • How HBase Writes Data
  • How HBase Reads Data
  • Block Caches for Reading

HBase Performance Tuning

  • Column Family Considerations
  • Schema Design Considerations
  • Configuring for Caching
  • Dealing with Time Series and Sequential Data
  • Pre-Splitting Regions

HBase Administration and Cluster Management

  • HBase Daemons
  • ZooKeeper Considerations
  • HBase High Availability
  • Using the HBase Balancer
  • Fixing Tables with hbck
  • HBase Security

HBase Replication and Backup

  • HBase Replication
  • HBase Backup
  • MapReduce and HBase Clusters

Using Hive and Impala with HBase

  • Using Hive and Impala with HBase

Appendix A: Accessing Data with Python and Thrift

  • Thrift Usage
  • Working with Tables
  • Getting and Putting Data
  • Scanning Data
  • Deleting Data
  • Counters
  • Filters

Appendix B: OpenTSDB

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

The course material and instructor were very good. easy to follow, lab was setup nicely and was able to complete most of the lab material.
The Koretex App is absolute garbage and very cumbersome to use on a tablet/ipad. A PDF file would be 100 times better than that atrocious app.
As a recommendation this class should be 5 days instead of 4 as some chapters had to be rushed.

I really enjoyed the course. It was well designed given that it was online. I would recommend that the higher level courses be taken on-site, but this course was very thorough for those looking to get started with an AWS Certification.

Very knowledgeable, and did a good job staying on pace. Was able to answer all questions posed.

Gave directions/document with great places to eat and area was very clean Free parking and food in kitchen in the morning

Well organized, but the training should have included lab times as well, labs won't be done during breaks.

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