Booking options
Price on Enquiry
Price on Enquiry
Delivered Online
4 days
All levels
Duration
4 Days
24 CPD hours
This course is intended for
This course is appropriate for developers and administrators who intend to use HBase.
Overview
Skills learned on the course include:The use cases and usage occasions for HBase, Hadoop, and RDBMSUsing the HBase shell to directly manipulate HBase tablesDesigning optimal HBase schemas for efficient data storage and recoveryHow to connect to HBase using the Java API, configure the HBase cluster, and administer an HBase clusterBest practices for identifying and resolving performance bottlenecks
Cloudera University?s four-day training course for Apache HBase enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second.
Introduction to Hadoop & 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 & 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 & Backup
HBase Replication
HBase Backup
MapReduce and HBase Clusters
Using Hive & 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
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