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Cloudera Training for Apache HBase

Course content updated by LearnQuest
Price
2,595 USD
3 Days
HBASE-E1XC
Classroom Training, Online Training
Cloudera Training
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Course Description

Overview

Cloudera Universityâ??s three-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. Apache HBase is distributed, scalable, NoSQL database built on Apache Hadoop. HBase can store data in massive tables consisting of billions of rows and millions of columns, serve data to many users and applications in real time, and provide fast, random read/write access to users and applications.


 

Objectives

  • Use cases and usage occasions for HBase, Hadoop, and RDBMS
  • Using the HBase shell to directly manipulate HBase tables
  • Designing optimal HBase schemas for efficient data storage and recovery
  • How to connect to HBase using the Java API to insert and retrieve data in real time
  • Best practices for identifying and resolving performance bottlenecks
     
  • Audience


     

    Prerequisites


       

    Topics

    Introduction to Hadoop and 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 and 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 and Backup

    • HBase Replication
    • HBase Backup
    • MapReduce and HBase Clusters

    Using Hive and 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


       
    • HBase for Developers

      DBNS-105
      • Duration: 3 Days
      • Delivery Format: Classroom Training, Online Training
      • Price: 2,100.00 USD
    2020 Top 20 Training Industry Company - IT Training

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