Big Data and Hadoop

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Khanna Publishing, 1 янв. 2017 г. - Всего страниц: 600



This book introduces you to the Big Data processing techniques addressing but not limited to various BI (business intelligence) requirements, such as reporting, batch analytics, online analytical processing (OLAP), data mining and Warehousing, and predictive analytics. 

The book has been written on IBMs Platform of Hadoop framework. IBM Infosphere BigInsight has the highest amount of tutorial matter available free of cost on Internet which makes it easy to acquire proficiency in this technique. This therefore becomes highly vunerable coaching materials in easy to learn steps.

The book optimally provides the courseware as per MCA and M. Tech Level Syllabi of most of the Universities.


All components of big Data Platform like Jaql, Hive Pig, Sqoop, Flume , Hadoop Streaming, Oozie: HBase, HDFS, FlumeNG, Whirr, Cloudera, Fuse , Zookeeper and Mahout: Machine learning for Hadoop has been discussed in sufficient Detail with hands on Exercises on each.

 

Избранные страницы

Содержание

1 OVERVIEW OF BIG DATA 1 1 1 Big Data
1
1
22
2
55
IBMS INFOSPHERE BIGINSIGHTS 99 3 1 IBMs InfoSphere BigInsights
99
HADOOP DISTRIBUTED FILE SYSTEM 122 4 1 Hadoop Distributed File System HDFS
122
NO SQL DATA MANAGEMENT AND MONGODB 159 5 1 No SQL Data Management
159
HBASE AND CASSENDRA 186 6 1 Introduction to HBase
186
MAPREDUCE 229 7 1 Introduction to MapReduce
229
THE DATA WARE HOUSE OF HADOOP 357 9 1 Introduction to Hive The Data Ware house of Hadoop
357
THE HIGHER LEVEL PROGRAMMING ENVIRONMENT 436 10 1 Introduction to Pig 436 10 2 Components of PIG
437
BIGSHEETS SPREADSHEET LIKE ENVIRONMENT 473 12 BIGSHEETS WORKBOOKS 484 12 1 Refreshing SQL
484
IMPORTING DATA FROM HETEROGENEOUS SOURCES 546 13 1 Introduction to SQOOP
546
DATA STREAM MINING 563 14 1 Data Stream Mining
563
BIG DATA REALTIME STREAMING 573 15 1 Flume Introduction
573
R PROGRAMMING
603
OZZIEZOOKEEPER AND MAHOUT 613 17 1 Introduction to OOZIE Workflow Scheduler for Hadoop
613

JSON BASED QUERY LANGUAGE 254 8 1 Introduction to JAQL
254
Авторские права

Часто встречающиеся слова и выражения

algorithms Apache applications array biadmin Big Data Big SQL booknum Cassandra client column family computing configuration Console cqlsh create crowdsourcing data model data sets data store data warehouse DataNodes David Baldacci default distributed file system document example execute Facebook Flume following command format function Grunt shell Hadoop cluster Hadoop Distributed hadoop fs HBase HDFS Hive InfoSphere BigInsights input interface J. K. Rowlings Jaql Java JDBC JobTracker JSON JSqsh KeySpace language Linux load machine Mahout MapReduce metadata MongoDB multiple NameNode nodes NoSQL databases Oozie operations option output partition password petabytes Pig Latin programming query reduce relational databases replication rows scalable schema script server social media specify Sqoop stars storage stream string structured data syntax tasks TaskTracker technologies tuples Twitter unstructured workbook znode Zookeeper

Библиографические данные

НазваниеBig Data and Hadoop
АвторVK Jain
Издание:перепечатанное
ИздательKhanna Publishing, 2017
ISBN938260913X, 9789382609131
Количество страницВсего страниц: 600
  
Экспорт цитатыBiBTeX EndNote RefMan