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Poll Results: Do you have a data grid?

September 10, 2013

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I created a poll last October: Do you have a data grid?

I removed it in July after creating two new polls, but here are the results.

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BDAS – Berkeley Data Analytics Stack

September 5, 2013

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Yesterday, I highlighted AMPLab and a set of projects that can be used as an alternative to Apache Hadoop (link).

Today, I’m highlighting BDAS: Berkeley Data Analytics Stack.

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AMP’d for Hadoop Alternatives

September 4, 2013

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Apache Hadoop is not the only game in town.

I’ve been following AMPLab (UC Berkeley – link) for some time now. The goal of this collaboration is to tame big data by integrating algorithms, machines, and people (AMP).

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Topic of Interest – Distributed Stream Processing

August 29, 2013

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I’ve been interested in distributed stream processing since the Storm and S4 announcements. Storm was open sourced by Twitter and S4, now an Apache Incubator project, was open sourced by Yahoo! Now, LinkedIn has open sourced Samza.
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Faster Big Data

August 29, 2013

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Volume is one thing. Velocity is another.

Apache Hadoop
It is the big data platform for storing and processing lots of data, later.

What about storing and processing a subset of that data, now, by…
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The Convergence of Data Stores

July 24, 2013

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The line between data grids and NoSQL database is disappearing. The line between NoSQL databases and Big Data platforms is disappearing.

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ACID v BASE

May 21, 2013

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It started with a post on High Scalability about ATMs, ACID transactions, and BASE (link). It continued on Hacker News (link).

It ended with this:

The system is BASE. The components are ACID.

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Data Grids & CAP

May 15, 2013

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How does the CAP Theorem apply to JBoss Data Grid (JDG)?

CAP Theorem

The CAP theorem asserts that any net­worked shared-data system can have only two of three desirable properties.

  • Consistent
  • Available
  • Partition Tolerant

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NoSQL & Partition Tolerance

March 13, 2013

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I came across an article discussing NoSQL and partition tolerance.

The NoSQL Partition Tolerance Myth (link)

I may not entirely agree with the author.

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Big Data – Storage Mediums & Data Structures

February 13, 2013

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My working title was Big Data, Storage Dilemma.

They say dilemma. I say dilemna. I’m serious. I spell it dilemna.

Big Data presents something of a storage dilemma. There is no one data store to rule them all.

Should different data structures be persisted to different storage mediums?

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