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Real-Time Big Data Analytics: Emerging Architecture

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.

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The Platform Problem: Why Big Data Outcomes Still Aren't Real-Time
There's a lot of hype around big data and its potential uses. After all, the technology alone is awe-inspiring, taking us all out of spreadsheets and applying, at scale, what we know humans understand best: visuals. The need for these big data …
Read more on Forbes

How Big Data Could Either Solve Corporate Diversity Issues or Make Them Worse
Are you feeling a bit paranoid about the use of data-mining tools to sift through huge piles of online information to predict or manipulate your behavior? How would you feel if companies started using Big Data to find job applicants, with an eye toward …
Read more on Breitbart News (blog)

Prelert Introduces Real-Time Analysis of Complex Anomalies in Big Data Sets
Accurately identifying anomalous activities to detect the fingerprints of an advanced persistent threat or the cause of very complex IT performance issues requires a cross-correlated analysis of multiple data attributes. Performing this type of …
Read more on insideBIGDATA

How 35 Canadian CIOs are sizing up big data and analytics issues
And yet here, I realized, was a great big data problem worth solving: how could a car rental firm optimize information on our preferences and make sure that the vehicles make available to us had the mirrors positioned the right way, or the driver's …
Read more on ITWorld Canada

New York (PRWEB UK) 22 July 2014

Spongecell announced today that CTO Byron Ellis’ new book, Real-Time Analytics: Techniques To Analyze and Visualize Streaming Data, has been published by John Wiley & Sons. The book is now available on Amazon.

The book draws on Ellis’s experience building large-scale data processing centers and gives readers insight into how to build an effective real-time analytics platform from the ground up.

“Today’s easy access to data means industries ranging from healthcare to hockey can take advantage of analytic tools to make smarter, more effective decisions,” said Ellis. “This book shares techniques that can help businesses build the infrastructure necessary to gather and process data efficiently and in real-time.”

Ellis has made a career out of solving complex computational problems. Prior to joining Spongecell as its CTO, Byron served as chief data scientist at LivePerson and CTO at online ad exchange AdBrite. Byron earned his doctorate in statistics from Harvard University, where his research focused on Bayesian networks, and did his postdoctoral work at Stanford Medical School, where he used statistical models to help better understand autoimmune diseases such as lupus.

“With demand for more personalized, data-driven creative, ad tech providers need to process enormous amounts of data in real time,” said Spongecell CEO Ben Kartzman. “Byron is one of our industry’s leading data scientists – we’re proud to have him leading the development of our data infrastructure and are happy he is sharing his wealth of knowledge with the wider community.”

To learn more about Spongecell, please visit: http://www.spongecell.com

About Spongecell

Spongecell (http://www.spongecell.com) is an award-winning advertising technology company that makes it easier to transform standard ads into dynamic, interactive digital ad experiences that run anywhere. Using data to drive advertising creative, Spongecell’s technology helps brands, creative and media agencies create more meaningful consumer engagement, without sacrificing speed. Spongecell works with some of the biggest companies in the world to drive their digital advertising campaigns and bring more interactive and engaging ad experiences to potential customers.

An independent, privately owned company, Spongecell is headquartered in New York City and has offices across the United States and Europe.

More Real Time Data Analytics Press Releases

Detroit to Make Real–Time Transportation Decisions with Data Visualization
The partnership will bring data visualization and analytics, as well as cloud computing, to turn the public transportation system in Detroit into a truly integrated and modernized 21st century regional transportation network. Transit Labs is a cutting …
Read more on insideBIGDATA

Ixia and LiveAction Deliver Real–Time Big Data Security Insights
CALABASAS, Calif.–(Business Wire)–Ixia (Nasdaq: XXIA) and LiveAction, a leader in application-aware network performance management, announced their combined solution for innovative real-time big data collection, analysis and visualization. The joint …
Read more on DigitalJournal.com

How these robotic surgeons use data visualization to enhance hospital stays …
In order to solve the challenges of organizing which staff member should be in which operation, based on the needs of patients and the differing levels of nurse and surgeon expertise. Tableau enables real time data analytics that, Fagin said, help the …
Read more on SiliconANGLE (blog)

Achieving Real-Time in Distributed Computing: From Grids to Clouds

Real-time systems are of importance to a large number of university laboratories and research institutes worldwide, and without the proper integration of real-time into distributed computing, institutions simply could not function.Achieving Real-Time in Distributed Computing: From Grids to Clouds offers over 400 accounts from a wide range of specific research efforts. Major focus is given to the need for methodologies, tools, and architectures for complex distributed systems that address the pra

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More Distributed Computing Products

Boulder, CO (PRWEB) August 22, 2012

Precog, the market-leading provider of analytics as a service, today announced that it has partnered with GridGain Systems, a real time big data software company, to offer a real-time data analysis solution. Labcoat by GridGain is a breakthrough analytics platform created from the fusion of two best-in-breed technologies: the data analysis technology of Precog, and the in-memory big data technology of GridGain.

With an interactive environment for data analysis, Labcoat empowers data analysts, data scientists, and business users to integrate, analyze, and visualize massive volumes of structured or semi-structured data. Powered by GridGain’s highly-scalable, in-memory data platform, Labcoat helps businesses answer their deepest questions with real-time performance and Enterprise-class scalability.

GridGain has proven itself the platform of choice for real-time big data applications. More Fortune 500 businesses rely on GridGains in-memory big data platform than any other vendor, said Nikita Ivanov, Founder & CEO of GridGain. Now with Labcoat, GridGain has the unprecedented ability to perform sophisticated analytics with a simple user-interface and no coding.

The Labcoat environment with the Quirrel evaluation and execution engine is sourced from Precog, while the in-memory scalable data grid is sourced from GridGain. The fusion of the two technologies is seamless and the entire package is available as a single download (no installation is required for Labcoat, as the software is web-based).

For decades, companies have used legacy SQL systems to analyze data. But legacy systems cant keep up with todays exploding volumes of data, and they can only answer simple questions about data. says John A. De Goes, CEO of Precog. With Labcoat by GridGain, companies can now mine any amount of data to find answers to the deepest of questions, with blisteringly fast performance. Its a revolution in data science.

To learn more about Labcoat by GridGain, please visit the Precog website at http://www.precog.com and contact us to receive more information. To experiment with the Labcoat application, please go to labcoat.precog.com

About Precog:

Precog is the leading provider of analytics as a service, helping developers incorporate intelligence and insights into their applications. Precog employs the original authors of the Quirrel language, and has developed the industry’s most complete and heavily-optimized execution stack for the Quirrel language. In addition, Precog develops Labcoat, a highly-interactive, collaborative data analysis environment. For more information, please visit http://www.precog.com and follow Precog on Twitter @precogio.

About GridGain:

GridGain develops scalable, distributed, in-memory data platform technology for real time data processing. The companys Java-based middleware products enable development of applications and services that can instantly access terabytes to petabytes of information from any data source or file system, distribute computational tasks across any number of machines, and produce results orders of magnitude faster than traditionally architected systems. GridGains customers include innovative web and mobile businesses, leading Fortune 500 companies, and top government agencies. The company is headquartered in Foster City, California. Learn more at http://www.gridgain.com and follow GridGain on Twitter @gridgain.

Media Contact:

Precog

Tasha Danko, 720-936-1131

marketing(at)precog(dot)com

or

GridGain Systems, Inc.

Jon Webster, 650-241-2281, ext. 2011

jwebster(at)gridgain(dot)com

Find More Distributed Computing Press Releases

Governments and telecommunication operators need intelligence drawn from real time analysis of massive data flows. In response, Brocade and IBM have developed an integrated solution that combines telemetry and real-time analytics processing with unprecedented scalability and response. This technology solves complex problems at high velocity on the world’s largest networks.