Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get the results from queries in minutes. But the revolution continues. Analysts now demand sub-
Real-Time Big Data Analytics: Emerging Architecture
β Scribed by Mike Barlow
- Publisher
- OβReilly Media
- Year
- 2013
- Tongue
- English
- Leaves
- 32
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p><b>Design, process, and analyze large sets of complex data in real time</b></p><h2>About This Book</h2><ul><li>Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm</li><li>Implement strategies to solve the challenges of
Packt Publishing, 2016. β 326 p. β ISBN: 9781784391409<div class="bb-sep"></div>Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.<br/>Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real
<p><p>This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includ
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<b>Construct a robust end-to-end solution for analyzing and visualizing streaming data</b>Real-time analytics is the hottest topic in data analytics today. In<i>Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data</i>, expert Byron Ellis teaches data analysts technologies to build