Big Data Analytics Beyond Hadoop: RealTime Applications With Storm, Spark, and More Hadoop Alternatives,Used

Big Data Analytics Beyond Hadoop: RealTime Applications With Storm, Spark, and More Hadoop Alternatives,Used

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Master alternative Big Data technologies that can do what Hadoop can't: realtime analytics and iterative machine learning.When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cuttingedge applications that Hadoop isn't well suited for, especially realtime analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases such as these. Big Data Analytics Beyond Hadoop is the first guide specifically designed to help you take the next steps beyond Hadoop. Dr. Vijay Srinivas Agneeswaran introduces the breakthrough Berkeley Data Analysis Stack (BDAS) in detail, including its motivation, design, architecture, Mesos cluster management, performance, and more. He presents realistic use cases and uptodate example code for: Spark, the next generation inmemory computing technology from UC Berkeley Storm, the parallel realtime Big Data analytics technology from Twitter GraphLab, the nextgeneration graph processing paradigm from CMU and the University of Washington (with comparisons to alternatives such as Pregel and Piccolo)Halo also offers architectural and design guidance and code sketches for scaling machine learning algorithms to Big Data, and then realizing them in realtime. He concludes by previewing emerging trends, including realtime video analytics, SDNs, and even Big Data governance, security, and privacy issues. He identifies intriguing startups and new research possibilities, including BDAS extensions and cuttingedge modeldriven analytics.Big Data Analytics Beyond Hadoop is an indispensable resource for everyone who wants to reach the cutting edge of Big Data analytics, and stay there: practitioners, architects, programmers, data scientists, researchers, startup entrepreneurs, and advanced students.

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Shipping & Returns

Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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Warranty

We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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