Posted by mod198 April - 16 - 2015 ADD COMMENTS

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

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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Posted by admin April - 10 - 2015 ADD COMMENTS

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

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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Related Data Analytics Products

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Posted by gildenshelton565 February - 21 - 2015 ADD COMMENTS

Most popular Real time Data Analytics eBay auctions:


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Posted by jaymepobre748 January - 11 - 2015 ADD COMMENTS

Storm Applied: Strategies for real-time event processing

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

Cloud computing: Hadoop, Aws and Google

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

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Posted by gildenshelton565 December - 17 - 2014 ADD COMMENTS

Storm or Spark: Choose your real-time weapon
Storm, a distributed computation framework for event stream processing, began life as a project of BackType, a marketing intelligence company bought by Twitter in 2011. Twitter soon open-sourced the project and put it on GitHub, but Storm ultimately …
Read more on InfoWorld

The Internet Of Things' Best-Kept Secret
“Today, part of the product is hardware and part of it is software and part of the software is in the product and part of it is in the cloud and the cloud has a whole new computing architecture. You need a data center … From what Heppelmann calls a …
Read more on Forbes

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Posted by admin December - 6 - 2014 1 COMMENT

Abstract: Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapRedu…
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Posted by admin November - 27 - 2014 ADD COMMENTS

Hospitals Are Finally Starting to Put RealTime Data to Use
(See this article on predictive analytics.) In this regard, health care is way … CBI is an IT system that collects and analyzes data and delivers the results to frontline clinicians in real time, helping them to make better decisions. It can be used …
Read more on blogs.hbr.org (blog)

RealTime Analytics Can Help Stop Ebola
While there's a role for PhD-level data scientists, the real power is in making advanced analysis work for mainstream — often Excel-wielding — business users. Here's how. Get the Analytics For All issue of InformationWeek Tech Digest today. (Free …
Read more on InformationWeek

Big Data and Analytics Software Gives Researchers a RealTime View of
The software provides real-time analysis for more than 10,000 data points per second from sensors measuring carbon levels and other environmental indicators such as relative humidity, temperature, soil moisture, atmospheric pressure and ambient noise …
Read more on Scicasts (press release) (registration) (blog)

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Posted by jaymepobre748 November - 11 - 2014 ADD COMMENTS

Bit.ly Data Scientist Brian Eoff goes live inside thecube at Hadoop World 2011 in New York City to discuss the challenges and opportunities associated with r…

From http://saffrontech.com/: On the battlefield the challenges the military faces change very, very quickly. During the wars in Iraq and Afghanistan there w…

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Posted by mod198 October - 31 - 2014 1 COMMENT

'Improving customer experience with real-time retailing and hyperlocal targeting' Digital Element

Optimizing the customer experience is crucial to driving long-term value for your business. Targeting users based on who they are and where they are is essen…
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FutureM 2013 session with Mobile Monday Boston Learn how new technologies are changing the traditional retail shopping experience. Retail brick and mortar re…
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Posted by gildenshelton565 October - 28 - 2014 1 COMMENT

Understanding Real-time Analytics

Watch Sample Class Recording: http://www.edureka.co/apache-storm?utm_source=youtube&utm_medium=referral&utm_campaign=real-time-analytics Real-time Data Analy…
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