Learning Hunk
暫譯: 學習 Hunk

Dmitry Anoshin, Sergey Sheypak

  • 出版商: Packt Publishing
  • 出版日期: 2015-12-24
  • 售價: $1,260
  • 貴賓價: 9.5$1,197
  • 語言: 英文
  • 頁數: 156
  • 裝訂: Paperback
  • ISBN: 1782174826
  • ISBN-13: 9781782174820
  • 海外代購書籍(需單獨結帳)

商品描述

Visualize and analyze your Hadoop data using Hunk

About This Book

  • Explore your data in Hadoop and NoSQL data stores
  • Create and optimize your reporting experience with advanced data visualizations and data analytics
  • A comprehensive developer's guide that helps you create outstanding analytical solutions efficiently

Who This Book Is For

If 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 Learn

  • Deploy and configure Hunk on top of Cloudera Hadoop
  • Create and configure Virtual Indexes for datasets
  • Make your data presentable using the wide variety of data visualization components and knowledge objects
  • Design a data model using Hunk best practices
  • Add more flexibility to your analytics solution via extended SDK and custom visualizations
  • Discover data using MongoDB as a data source
  • Integrate Hunk with AWS Elastic MapReduce to improve scalability

In Detail

Hunk 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.

商品描述(中文翻譯)

使用 Hunk 可視化和分析您的 Hadoop 數據

本書簡介



  • 探索您在 Hadoop 和 NoSQL 數據存儲中的數據

  • 利用先進的數據可視化和數據分析來創建和優化您的報告體驗

  • 一本全面的開發者指南,幫助您高效地創建出色的分析解決方案

本書適合誰閱讀


如果您是希望基於 Hadoop 部署或各種 NoSQL 數據存儲使用 Hunk 構建高效實時運營智能解決方案的 Hadoop 開發者,那麼這本書適合您。假設您對 Splunk 有一定的了解。

您將學到什麼



  • 在 Cloudera Hadoop 上部署和配置 Hunk

  • 為數據集創建和配置虛擬索引

  • 使用各種數據可視化組件和知識對象使您的數據更具可展示性

  • 使用 Hunk 最佳實踐設計數據模型

  • 通過擴展 SDK 和自定義可視化為您的分析解決方案增加更多靈活性

  • 使用 MongoDB 作為數據源發現數據

  • 將 Hunk 與 AWS Elastic MapReduce 集成以提高可擴展性

詳細內容


Hunk 是一個大數據分析平台,讓您能夠快速探索、分析和可視化 Hadoop 和 NoSQL 數據存儲中的數據。它提供了一個單一、流暢的用戶體驗,旨在讓您從大數據中獲得洞察,而無需專業技能、固定架構或數月的開發時間。Hunk 超越了典型的數據分析方法,賦予您快速檢測模式和發現數據異常的能力,能夠處理數PB的原始數據。


本書專注於使用這個功能強大的全功能大數據分析平台探索、分析和可視化 Hadoop 和 NoSQL 數據存儲中的大數據。


您將首先學習 Hunk 架構和 Hunk 虛擬索引,然後進入如何使用 Splunk 搜索語言 (SPL) 輕鬆分析和可視化數據。接下來,您將了解 Hunk 應用程序,這些應用程序可以輕鬆與 MongoDB 或 Sqqrl 等 NoSQL 數據存儲集成。您還將發現 Hunk 知識對象,在 Hadoop 上構建語義層,並使用 Hunk Pivot 的友好用戶界面探索數據。您將連接 MongoDB 並探索數據存儲中的數據。最後,您將學習報告加速技術並在 AWS Cloud 中分析數據。

風格與方法


一本從基礎開始的逐步指南,深入探討 Hunk 的更高級和技術性方面。