Learning Hunk
(eBook)

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Published
Packt Publishing, 2015.
Format
eBook
ISBN
9781785283024
Status
Available Online

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Language
English

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Citations

APA Citation, 7th Edition (style guide)

Dmitry Anoshin., Dmitry Anoshin|AUTHOR., & Sergey Sheypak|AUTHOR. (2015). Learning Hunk . Packt Publishing.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Dmitry Anoshin, Dmitry Anoshin|AUTHOR and Sergey Sheypak|AUTHOR. 2015. Learning Hunk. Packt Publishing.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Dmitry Anoshin, Dmitry Anoshin|AUTHOR and Sergey Sheypak|AUTHOR. Learning Hunk Packt Publishing, 2015.

MLA Citation, 9th Edition (style guide)

Dmitry Anoshin, Dmitry Anoshin|AUTHOR, and Sergey Sheypak|AUTHOR. Learning Hunk Packt Publishing, 2015.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID45c5e3b1-17fd-9abc-8cee-49388121d27b-eng
Full titlelearning hunk
Authoranoshin dmitry
Grouping Categorybook
Last Update2024-05-14 23:01:27PM
Last Indexed2024-06-08 00:37:25AM

Hoopla Extract Information

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    [synopsis] => 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.
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