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