Learning Hunk (notice n° 69781)

détails MARC
000 -LEADER
fixed length control field 03174cam a2200289zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88853466
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250107225544.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250107s2015 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781782174820
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88853466
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Anoshin, Dmitry
245 01 - TITLE STATEMENT
Title Learning Hunk
Statement of responsibility, etc. ['Anoshin, Dmitry', 'Sheypak, Sergey']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Packt Publishing
Date of production, publication, distribution, manufacture, or copyright notice 2015
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. Visualize and analyze your Hadoop data using HunkAbout This BookExplore your data in Hadoop and NoSQL data storesCreate and optimize your reporting experience with advanced data visualizations and data analyticsA comprehensive developer's guide that helps you create outstanding analytical solutions efficientlyWho This Book Is ForIf you are Hadoop developers who want to build efficient real-time Operation Intelligence Solutions based on Hadoop deployments or various NoSQL data stores using Hunk, this book is for you. Some familiarity with Splunk is assumed.What You Will LearnDeploy and configure Hunk on top of Cloudera HadoopCreate and configure Virtual Indexes for datasetsMake your data presentable using the wide variety of data visualization components and knowledge objectsDesign a data model using Hunk best practicesAdd more flexibility to your analytics solution via extended SDK and custom visualizationsDiscover data using MongoDB as a data sourceIntegrate Hunk with AWS Elastic MapReduce to improve scalabilityIn DetailHunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes beyond typical data analysis methods and gives you the power to rapidly detect patterns and find anomalies across petabytes of raw data.This book focuses on exploring, analysing, and visualizing big data in Hadoop and NoSQL data stores with this powerful full-featured big data analytics platform.You will begin by learning the Hunk architecture and Hunk Virtual Index before moving on to how to easily analyze and visualize data using Splunk Search Language (SPL). Next you will meet Hunk Apps which can easy integrate with NoSQL data stores such as MongoDB or Sqqrl. You will also discover Hunk knowledge objects, build a semantic layer on top of Hadoop, and explore data using the friendly user-interface of Hunk Pivot. You will connect MongoDB and explore data in the data store. Finally, you will go through report acceleration techniques and analyze data in the AWS Cloud.Style and approach A step-by-step guide starting right from the basics and deep diving into the more advanced and technical aspects of Hunk.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Anoshin, Dmitry
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Sheypak, Sergey
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88853466">https://international.scholarvox.com/netsen/book/88853466</a>
Electronic format type text/html
Host name

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