Real Time Big Data Analytics Emerging Architecture


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Real-Time Big Data Analytics: Emerging Architecture


Real-Time Big Data Analytics: Emerging Architecture

Author: Mike Barlow

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2013-06-24


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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 getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.

Real Time Big Data Analytics


Real Time Big Data Analytics

Author: Mike Barlow

language: en

Publisher:

Release Date: 2014-08-15


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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 getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.

Real-Time Big Data Analytics


Real-Time Big Data Analytics

Author: Trilokesh Khatri

language: en

Publisher: Educohack Press

Release Date: 2025-01-03


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Real-Time Big Data Analytics: Emerging Trends explores how advanced technologies have significantly reduced data processing cycle time, enabling unprecedented data exploration and experimentation. This book delves into the real promise of advanced data analytics beyond mere technology, highlighting how real-time big data analytics processes data as it arrives to provide timely, actionable insights. We discuss scalable hardware solutions based on emerging technologies like nonvolatile memory devices and in-memory computing, paired with optimized data analytics algorithms such as machine learning. The book covers various frameworks for data analytics, including Hadoop, Spark, Storm, and NoSQL, and provides a comparative performance analysis of each. Designed for students, scholars, and professionals, Real-Time Big Data Analytics: Emerging Trends is an invaluable resource for those looking to master big data and real-time analytics.