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HBase for Developers

Course content updated by LearnQuest
Price
2,100 USD
3 Days
DBNS-105
Classroom Training, Online Training
Prices reflect a 22.5% discount for IBM employees.
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Course Description

Overview

This course introduces HBase – a NoSQL store on top of Hadoop. The course is intended for developers who will be using HBase to develop applications and administrators who will manage HBase clusters.
 

Objectives

During the HBase for Developers course, students will learn:
  • HBase architecture and design
  • HBase internals
  • Using APIs to interact with HBase
  • Data modeling on HBase

Audience

Developers & Administrators
 

Prerequisites

    • Comfortable with Java programming language
    • Comfortable in Java programming language (navigate Linux command line , edit files with vi / nano)
    • A Java IDE like Eclipse or IntelliJ

Topics

Introduction to Big Data & NoSQL
  • Big Data ecosystem
  • NoSQL overview
  • CAP theorem
  • When is NoSQL appropriate
  • Columnar storage
  • HBase and NoSQL
HBase Intro
  • Concepts and Design
  • Architecture (HMaster and Region Server)
  • Data integrity
  • HBase ecosystem
  • Lab : Exploring HBase
HBase Data model
  • Namespaces, Tables and Regions
  • Rows, columns, column families, versions
  • HBase Shell and Admin commands
  • Lab: HBase Shell
Accessing HBase using Java API
  • Introduction to Java API
  • Read / Write path
  • Time Series data
  • Scans
  • Map Reduce
  • Filters
  • Counters
  • Co-processors
  • Labs (multiple) : Using HBase Java API to implement time series , Map Reduce, Filters and counters.
HBase schema Design: Group session
  • Students are presented with real world use cases
  • Students work in groups to come up with design solutions
  • Discuss / critique and learn from multiple designs
  • Labs : implement a scenario in HBase
HBase Internals
  • Understanding HBase under the hood
  • Memfile / HFile / WAL
  • HDFS storage
  • Compactions
  • Splits
  • Bloom Filters
  • Caches
  • Diagnostics
HBase installation and configuration
  • Hardware selection
  • Install methods
  • Common configurations
  • Lab: installing HBase
HBase eco-system
  • Developing applications using HBase
  • Interacting with other Hadoop stack (MapReduce, Pig, Hive)
  • Frameworks around HBase
  • Advanced concepts (co-processors)
  • Labs: writing HBase applications
Monitoring And Best Practices
  • Monitoring tools and practices
  • Optimizing HBase
  • HBase in the cloud
  • Real-world use cases of HBase
  • Labs: checking HBase vitals
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