HBase high performance cookbook : exciting projects that will teach you how complex data can be exploited to gain maximum insights

HBase high performance cookbook exciting projects that will teach you how complex data can be exploited to gain maximum insights

Exciting projects that will teach you how complex data can be exploited to gain maximum insights About This Book Architect a good HBase cluster for a very large distributed system Get to grips with the concepts of performance tuning with HBase A practical guide full of engaging recipes and attractiv...

Descripción completa

Detalles Bibliográficos
Otros Autores: Choudhry, Ruchir, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt 2017.
Edición:1st edition
Materias:
Electronic data processing > Distributed processing.
Distributed databases > Handbooks, manuals, etc.
Database management.
Open source software.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630079806719
Tabla de Contenidos:
  • Cover
  • Copyright
  • Credits
  • About the Author
  • About the Reviewer
  • www.PacktPub.com
  • Customer Feedback
  • Table of Contents
  • Preface
  • Chapter 1: Configuring HBase
  • Introduction
  • Configuring and deploying HBase
  • Using the filesystem
  • Administering clusters
  • Managing clusters
  • Chapter 2: Loading Data from Various DBs
  • Introduction
  • Extracting data from Oracle
  • Loading data using Oracle Big data connector
  • Bulk utilities
  • Using Hive with Apache HBase
  • Using Sqoop
  • Chapter 3: Working with Large Distributed Systems Part I
  • Introduction
  • Scaling elastically or Auto Scaling with built-in fault tolerance
  • Auto Scaling HBase using AWS
  • Works on different VM/physical, cloud hardware
  • Chapter 4: Working with Large Distributed Systems Part II
  • Introduction
  • Read path
  • Write Path
  • Snappy
  • LZO compression
  • LZ4 compressor
  • Replication
  • Chapter 5: Working with Scalable Structure of tables
  • Introduction
  • HBase data model part 1
  • HBase data model part 2
  • How HBase truly scales on key and schema design
  • Chapter 6: HBase Clients
  • Introduction
  • HBase REST and Java Client
  • Working with Apache Thrift
  • Working with Apache Avro
  • Working with Protocol buffer
  • Working with Pig and using Shell
  • Chapter 7: Large-Scale MapReduce
  • Introduction
  • Chapter 8: HBase Performance Tuning
  • Introduction
  • Working with infrastructure/operating systems
  • Working with Java virtual machines
  • Changing the configuration of components
  • Working with HDFS
  • Chapter 9: Performing Advanced Tasks on Hbase
  • Machine learning using Hbase
  • Real-time data analysis using Hbase and Mahout
  • Full text indexing using Hbase
  • Chapter 10: Optimizing Hbase for Cloud
  • Introduction
  • Configuring Hbase for the Cloud
  • Connecting to an Hbase cluster using the command line.
  • Backing up and restoring Hbase
  • Terminating an HBase cluster
  • Accessing HBase data with hive
  • Viewing the Hbase user interface
  • Monitoring HBase with CloudWatch
  • Monitoring Hbase with Ganglia
  • Chapter 11: Case Study
  • Introduction
  • Configuring Lily Platform
  • Integrating elastic search with Hbase
  • Configuring
  • Index.

Ejemplares similares