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HBase High Performance Cookbook.
Exciting projects that will teach you how complex data can be exploited to gain maximum insightsAbout 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 attractive...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2017.
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| Edición: | 1. |
| Temas: | |
| Acceso en línea: | Texto completo |
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 toleranceAuto 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 bufferWorking 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 lineBacking 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.