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Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data

Construct a robust end-to-end solution for analyzing andvisualizing streaming data Real-time analytics is the hottest topic in data analyticstoday. In Real-Time Analytics: Techniques to Analyze andVisualize Streaming Data, expert Byron Ellis teaches dataanalysts technologies to build an effective real-time analyticsplatform. This platform can then be used to make sense of theconstantly changing data that is beginning to outpace traditionalbatch-based analysis platforms.The author is among a very

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Big Data Analytics Beyond Hadoop: Real-Time Applications with Storm, Spark, and More Hadoop Alternatives (FT Press Analytics)

Master alternative Big Data technologies that can do what Hadoop can’t: real-time analytics and iterative machine learning.   When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cutting-edge applications that Hadoop isn’t well suited for, especially real-time analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases s

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Pro Apache Hadoop

Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been revised too, giving the latest on the ins and outs of MapReduce, cluster design, the Hadoop Distributed File System, and more. This book covers everything you need to bu

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Rugby Challenge 2 – The Lions Tour Edition

Play in Single Match Mode and multi-team Competition Mode. Compete in online multiplayer with support up to 4v4 via PlayStation Network, Xbox LIVE, or Steam. 110+ teams and 50+ stadia from around the world. Licensed for the All Blacks, the Qantas Wallabies, the USA Eagles, Bledisloe Cup, British and Irish Lions 2013 Tour of Australia, Barbarians FC, Combined Country, Super Rugby teams, Aviva Premiership Rugby, TOP 14 Orange, Pro D2, RaboDirect PRO12, ITM Cup, and Ranfurly Shield. More options to

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Storm Applied: Strategies for real-time event processing

It’s a lot harder to make sense out of data when it’s coming at full speed. Apache Storm’s efficient stream processing capabilities are relied upon by giants like Twitter and Yahoo for swiftly extracting intelligence from their Big Data streams. Fault tolerant guarantees of Storm make it an invaluable and versatile platform in the Big Data landscape. It integrates seamlessly with battle-tested message queuing systems (like Kafka) and NoSQL databases (like Cassandra). Storm is built to run on the

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Cloud computing: Hadoop, Aws and Google

Basics of cloud computing, AWS, Google cloud, Hadoop and more.

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Big Data: Understanding How Data Powers Big Business

Leverage big data to add value to your businessSocial media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that’s where this practical book

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Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics (IBM Press)

How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience

Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense

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Big Data Analytics with R and Hadoop

If you’re an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You’ll end up capable of building a data analytics engine with huge potential. Overview Write Hadoop MapReduce within R Learn data analytics with R and the Hadoop platform Handle HDFS data within R Understand Hadoop streaming with R Encode and enrich datasets into R In Detail Big data analytics is the process of examining large amounts of

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ZOOB 0Z11175 ZOOB Challenge Moving Mind-Building Modeling System, Assorted Colors, 175-Pieces

• Design and build cool, wacky creations
• Solve challenges, such as hitting targets and making balls bounce
• Set includes 175 classic Zoob pieces, plus wheels, elastic bands and other building materials

The ZOOB 0Z11175 ZOOB Challenge Moving Mind-Building Modeling System is a building set that’s different from the rest! The pieces can be moved after being put together, so kids can play with their ZOOB creations, instead of just looking at them. ZOOB pieces snap, click and pop together to form joints that rotate, limbs that extend, axles that spin and lots more. Kids can create simple models in minutes or get absorbed and spend hours at a time. There’s no limit to what they can build: from anima

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Large-scale Distributed Systems and Energy Efficiency: A Holistic View (Wiley Series on Parallel and Distributed Computing)

This book discusses energy efficiency in large-scale systems. It provides an overview  of current energy-reducing technologies  and the energy consumption method, addressing topics such as cloud computing, high-performance computing, networks and more. The book begins with an introduction to energy demands in ICT. It then covers topics like green wired/wireless networks, mobile computing, power modeling, green data centers and high-performance computing, resource allocation and energy efficie

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Finding the Forest in the Trees: The Challenge of Combining Diverse Environmental Data

During the last few decades of the 20th century, the development of an array of technologies has made it possible to observe the Earth, collect large quantities of data related to components and processes of the Earth system, and store, analyze, and retrieve these data at will. Over the past ten years, in particular, the observational, computational, and communications technologies have enabled the scientific community to undertake a broad range of interdisciplinary environmental research and as

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Global Monitoring: The Challenges of Access to Data

This highly technical work is at the leading edge of spatial analysis. It covers the Global Monitoring for Environment and Security (GMES) initiative in the international context of access to environmental data. This book identifies the data policy issues, such as intellectual property rights, privacy, licensing and archiving policies, that affect environmental monitoring organisations, statistical institutes, mapping agencies, institutes for natural resources and Earth observation. It recommend

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