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Showing entries 1 to 10 of 20 10 Older Entries

Displaying posts with tag: MapReduce (reset)

On Hadoop RDBMS. Interview with Monte Zweben.
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“HBase and Hadoop are the only technologies proven to scale to dozens of petabytes on commodity servers, currently being used by companies such as Facebook, Twitter, Adobe and Salesforce.com.”–Monte Zweben.

Is it possible to turn Hadoop into a RDBMS? On this topic, I have interviewed Monte Zweben, Co-Founder and Chief Executive Officer of Splice Machine.

RVZ

Q1. What are the main challenges of applications and operational analytics that support real-time, interactive queries on data updated in real-time for Big Data?

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Data Analytics at NBCUniversal. Interview with Matthew Eric Bassett.
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“The most valuable thing I’ve learned in this role is that judicious use of a little bit of knowledge can go a long way. I’ve seen colleagues and other companies get caught up in the “Big Data” craze by spend hundreds of thousands of pounds sterling on a Hadoop cluster that sees a few megabytes [...]

On Big Data, Analytics and Hadoop. Interview with Daniel Abadi.
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“Some people even think that “Hadoop” and “Big Data” are synonymous (though this is an over-characterization). Unfortunately, Hadoop was designed based on a paper by Google in 2004 which was focused on use cases involving unstructured data (e.g. extracting words and phrases from Webpages in order to create Google’s Web index). Since it was not [...]

Typical “Big” Data Architecture
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Here is the typical “Big†data architecture, that covers most components involved in the data pipeline. More or less, we have the same architecture in production in number of places[...]

MySQL and Hadoop
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Introduction

"Improving MySQL performance using Hadoop" was the talk which I and Manish Kumar gave at Java One & Oracle Develop 2012, India. Based on the response and interest of the audience, we decided to summarize the talk in a blog post. The slides of this talk can be found here. They also include a screen-cast of a live Hadoop system pulling data from MySQL and working on the popular 'word count' problem.



MySQL and Hadoop have been …

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A super-set of MySQL for Big Data. Interview with John Busch, Schooner.
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“Legacy MySQL does not scale well on a single node, which forces granular sharding and explicit application code changes to make them sharding-aware and results in low utilization of severs”– Dr. John Busch, Schooner Information Technology A super-set of MySQL suitable for Big Data? On this subject, I have interviewed Dr. John Busch, Founder, Chairman, [...]

451 CAOS Links 2011.08.23
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Engine Yard acquires Orchestra. Red Hat considers NoSQL move. And more.

# Engine Yard announced a definitive agreement to acquire Orchestra, bringing PHP expertise to the Engine Yard platform.

# Red Hat’s CEO indicated the company is interested in a NoSQL or Hadoop acquisition.

# Gluster …

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451 CAOS Links 2011.07.01
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A herd of Hadoop announcements. Rockmelt raises $30m. And more.

A herd of Hadoop announcements
# Yahoo! and Benchmark Capital confirmed the formation of Hortonworks, an independent company focused on the development and support of Apache Hadoop.

# Cloudera announced the availability of …


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451 CAOS Links 2010.10.08
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Patents! Patents! Patents! Canonical’s perfect 10. And more.

Follow 451 CAOS Links live @caostheory on Twitter and Identi.ca, and daily at Paper.li/caostheory
“Tracking the open source news wires, so you don’t have to.”

# Google responded to Oracle’s claims that its Android OS infringes copyrights and patents related to Java.

# Matt Asay …


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The SMAQ stack for big data
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SMAQ report sections

→ MapReduce

→ Storage

→ Query

→ Conclusion

"Big data" is data that becomes large enough that it cannot be processed using conventional methods. Creators of web search engines were among the first to confront this problem. Today, social networks, mobile phones, sensors and science contribute to petabytes …

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Showing entries 1 to 10 of 20 10 Older Entries

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