Apache Hbase Training Course and Workshop in Bangalore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata by Encarta Labs

HBase is an open source, non-relational, distributed database modeled after Google’s BigTable and is written in Java. HBase features compression, in-memory operation, and Bloom filters on a per-column basis as outlined in the original BigTable paper. Tables in HBase can serve as the input and output for MapReduce jobs run in Hadoop, and may be accessed through the Java API but also through REST, Avro or Thrift gateway APIs.

By attending Apache HBase workshop, Participants will learn to:

Understand HBase Architecture and use HBase shell to directly manipulate HBase Tables
Design optimal HBase schemas for efficient data storage and recovery
Connect to HBase using the Java API
Understand how to bulk load data into HBase using MapReduce
Administer HBase cluster and Identify, resolve performance bottlenecks

Core Java knowledge

Java Professionals, Big data and Database Professionals, Professional planning to switch to Hadoop/Big data Technologies

Introduction to HBase

CAP Theorem and Eventual consistency
NoSQL
Creating Table - Shell and Programming
Column Families
Column Value & Key Pair
Index & Query
Learning Scan
MapReduce and HBase
Importing into HBase

HBase Programming - Learning API

CRUD Operations
Get
Delete
Scan Operations
Result Scanner
Batch and Caching
Filters
Counters
Co-Processors
Pooling
Admin Operations
Create Table
Column Families
Table Properties
Table Operations
Schema Operations
Cluster Operations
Status Operations
Map Reduce Integration
Static vs Dynamic provisioning
Data Sink
Data Source
Custom Processing

HBase Architecture

Seek vs Transfer
Storage
Write Path
File Type
Root level
Table level
Region level
Region split
Compaction
HFile Format
Key Value Format
Write Ahead Log
Storage
Write Path
File Types
Read Path
Regions
Region life cycle
Replication
Zoo Keeper

HBase DB Design

Designing Keys
Schema Design
Handling Index
Integration for search
Transaction

Implementing HBase CRUD Framework - Case Study

Building a CRUD framework
Building HBase Admin core
Building HBase master data manager
Building Table administration
Building filter framework
Building configuration framework

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