Bits 'n Pieces on Big Data
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Bits 'n Pieces on Big Data
Innovative information and insight into Big Data (if you like the content, please consider donating to my bitcoin address #3Pjof6N9xRAYXXSPZ4EAFLfHGn51ZdPcxi)
Curated by onur savas
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Google open sources a MapReduce framework for C/C++

Google open sources a MapReduce framework for C/C++ | Bits 'n Pieces on Big Data | Scoop.it
Google announced on Wednesday that the company is open sourcing a MapReduce framework that will let users run native C and C++ code in their Hadoop environments. Depending on how much traction MapReduce for C, or MR4C, gets and by whom, it could turn out to be a pretty big deal. Hadoop is famously, or…
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Twitter open sources Storm-Hadoop hybrid called Summingbird

Twitter open sources Storm-Hadoop hybrid called Summingbird | Bits 'n Pieces on Big Data | Scoop.it
Twitter has open sourced a “streaming MapReduce” system called Summingbird that makes Hadoop and Storm play nicer together so applications that require both batch and stream processing can do their jobs with as little complexity as possible.
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webDEVILopers's curator insight, September 4, 2013 8:56 AM

In the case of Twitter, Hadoop handles batch processing, Storm handles stream processing, and the hybrid system is called Summingbird. It’s not a tool for every job, but it sounds pretty handy for those it’s designed to address. Hybrid systems like this are actually becoming more common as companies realize they can’t survive in a real-time world with Hadoop alone.

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Hadoop Security and Cloudera's new Role Based Access Control

Hadoop Security and Cloudera's new Role Based Access Control | Bits 'n Pieces on Big Data | Scoop.it
Hadoop Security and Cloudera's new Role Based Access Control Sentry project. About Hadoop, security, Cloudera, Sentry, MapReduce, BigData,
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Simulating Map-Reduce in R for Big Data Analysis Using Flights Data

Simulating Map-Reduce in R for Big Data Analysis Using Flights Data | Bits 'n Pieces on Big Data | Scoop.it
At datadolph.in, we are constantly crunching through large amounts of data.  We are designing unique and innovative ways to process large datasets on a single node and use distribute...
onur savas's insight:

R for Big Data seems to be getting more support.

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Google Replaces MapReduce With New Hyper-Scale Cloud Analytics System

Google Replaces MapReduce With New Hyper-Scale Cloud Analytics System | Bits 'n Pieces on Big Data | Scoop.it
Says old distributed computing system does not handle petabyte-scale analytics well enough Read More
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Apache Tez

Apache Tez | Bits 'n Pieces on Big Data | Scoop.it
Apache™ Tez generalizes the MapReduce paradigm to a more powerful framework for near real-time big data processing.
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