Download the New Impala e-Book from O’Reilly Media

See on Scoop.itpdg-technologies.com

Cloudera offers enterprises a powerful new data platform built on the popular Apache Hadoop open-source software package.

See on blog.cloudera.com

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rebound

See on Scoop.itPDG Mobile Tech

Rebound is a java library that models spring dynamics. Rebound spring models can be used to create animations that feel natural by introducing real world physics to your application.

Rebound is not a general purpose physics library; however, spring dynamics can be used to drive a wide variety of animations. The simplicity of Rebound makes it easy to integrate and use as a building block for creating more complex components like pagers, toggles, and scrollers.

See on facebook.github.io

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In-Stream Big Data Processing

Originally posted on Highly Scalable Blog:

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

At Grid Dynamics, we recently faced a necessity to build an in-stream data processing system that aimed to crunch about 8 billion events daily providing…

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Log Analysis System Using Hadoop and MongoDB | CUBRID Blog

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See on www.cubrid.org

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Thoughts on NoSQL & Big Data Architecture

Originally posted on Adam's Big Data Discoveries:

I recently web a webpage forwarded to me by someone at work. It’s a very complex diagram of a ‘typical’ Big Data architecture. It also contains a couple of NoSQL databases. I decided to do a critique of it from a pure NoSQL standpoint. The diagram should (if we in the Computer industry are doing our jobs right) be able to be simplified if we use the correct products and approaches. I’ll detail my thoughts in this article…

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FalconProposal – Incubator Wiki

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Kun Le‘s insight:

Falcon is a data processing and management solution for Hadoop designed for data motion, coordination of data pipelines, lifecycle management, and data discovery. Falcon enables end consumers to quickly onboard their data and its associated processing and management tasks on Hadoop

See on wiki.apache.org

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Originally posted on Building The Analytic Enterprise:

Big Data Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Businesses, by Michael Minelli, Michele Chambers and Ambiga Dhiraj.

Books on Big Data tend to fall into two categories: they are either “strategic” and written at a very high level, or they are cookbooks that tell you how to set up a Hadoop cluster.  Moreover, many of these books focus narrowly on data management — an interesting subject in its own right for those who specialize in the discipline, but yawn-inducing for managers in Sales, Marketing, Risk Management, Merchandising or Operations who have businesses to run.

Hey, we can manage petabytes of data.  Thank you very much.  Now go away.

Big Data Big Analytics appeals to business-oriented readers who want a deeper understanding of Big Data, but aren’t necessarily interested in writing MapReduce code.   Moreover, this is a book about analytics — not just how we…

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