Cloudera Training for Apache HBase - SF bay area - Feb 16-17

This two-day course is designed for developers and administrators already familiar with Apache Hadoop. With a mix of instructional sessions and hands-on exercises, participants will learn how to design HBase schemas, write their own applications and perform proper cluster configuration and maintenance of an HBase cluster.
We'll cover the following topics:
Introduction to HBase
Data Model
Understanding tables, row keys and column families
Choosing column attributes
Version and HBase operations
The HBase Shell
Creating and manipulating data using the command-line shell
Hands-on exercise: Using the HBase shell
Cluster architecture
HMaster, RegionServers and Zookeeper
Compactions in HBase
Crash recovery
Hands-on Exercise: Flushes and Compactions
Storage Architecture
Client caching
Data storage and Bloom Filters
How rows are modified
Hands-on Exercise: Viewing and Reading HFiles
Schema Design
What should be considered when creating column families
Designing for locality and access patterns
How to detect and prevent hot spots
Hands-on Exercise: Detecting Hot Spots
HBase API
Connecting to HBase using the Java API
Administrative actions using the Java API
Accessing data using the Java API
Hands-on Exercise: Writing an HBase Program
MapReduce and Bulk Loads
MapReduce Integration
How to bulk load into HBase
Hands-on Exercise: HBase input MapReduce
Hands-on Exercise: Bulk importing into HBase
HBase Configuration
Standalone and Distributed run modes
Required Zookeeper configurations
Required configuration settings
Hands-on Exercise: Distributed HBase install
HBase Administration
Monitoring HBase processes
Performing HBase back-ups
Planning for HBase capacity
Hands-on Exercise: Pre-Splitting Regions
Performance Tuning
Preventing network bandwidth bottlenecks
Java garbage collection and HBase operations
Tuning for Client operations
Log locations and troubleshooting tools