Bültmann & Gerriets
Learning Hunk
von Dmitry Anoshin
Verlag: Packt Publishing
E-Book / PDF
Kopierschutz: Adobe DRM


Speicherplatz: 11 MB
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ISBN: 978-1-78528-302-4
Erschienen am 31.12.2015
Sprache: Englisch
Umfang: 156 Seiten

Preis: 27,49 €

27,49 €
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Klappentext

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.