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Featured Blog Posts – July 2013 Archive (8)

An extensive glossary of big data terminology

Posted in Big Data Startups. I really like their NewSQL entry, althought in my opinion it should also include traditional SQL with an intermediate, transparent layer where SQL is translated into something much faster for Hadoop, a bit like the new…

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Added by Vincent Granville on July 30, 2013 at 4:00pm — No Comments

Make Data Strategy Part of Corporate Strategy

The link between strategy and data has never been stronger.  And the economics between the two has never been clearer; the potential return on a properly implemented big data analytics investment can be nothing short of game-changing – if it is done strategically.  It is therefore imperative to make data strategy part of corporate strategy.

The three main levers of return on investment (ROI) are cost efficiencies, productivity gains and incremental revenue generation.   These levers…

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Added by Gabriel Lowy on July 26, 2013 at 8:27am — No Comments

Three Data Categories Likely Missing in Your Data Warehouse

Guest blog post by David Mould, intially published in the IBM Data Magazine.

Both data warehouse managers…

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Added by Vincent Granville on July 22, 2013 at 7:30pm — No Comments

How to guarantee big ROI on big data

I will start this article with an analogy:

  • Processing big data with small data technology is like building an 80-story skyscraper brick by brick. It will take a lot of time just to get to floor #10, and it will collapse by the time you reach floor #15.…
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Added by Vincent Granville on July 20, 2013 at 10:30pm — No Comments

Data Discovery's Next Chapter

Data discovery’s next chapter will see an explosion in analytics globally – from tens of thousands of data analysts today to tens of millions of business users within five years.  Key drivers will be further advances in easy-to-use interfaces, the marriage of data discovery and unified information access (UIA) and greater mobile capabilities. This is in keeping with the shift in enterprise spending from legacy database architectures with rigid historical reporting to real-time, event-driven,…

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Added by Gabriel Lowy on July 12, 2013 at 3:16pm — No Comments

GE's Clarion Call on Cloud and Analytics

GE’s entry into cloud and analytics should serve as a clarion call to organizations everywhere about not whether, but how to extract value from big data. GE will leverage industrial data to drive the three pillars of return on investment (ROI): reducing costs for itself and its customers, raising productivity of people and equipment, and generating incremental revenues. The Industrial Internet can be more significant for GE than Six Sigma was in the 1980s.

The most notable aspect of…

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Added by Gabriel Lowy on July 12, 2013 at 3:11pm — No Comments

Data silos are unavoidable, and maybe desirable

One of the reasons why ROI on big data is lower than it should be is data silos (or click here for another reference on data silos).…

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Added by Vincent Granville on July 8, 2013 at 11:30pm — 2 Comments

Nasty data corruption getting exponentially worse with the size of your data

The issue with truly big data is that you will end up with field separators that are actually data values (text data). What are the chances to find a double tab in a one GB file? Not that high. In an 100 TB file, the chance is very high. Now the question is: is it a big issue, or maybe it's fine as long as less than 0.01% of the data is impacted. In some cases, once the glitch occurs,…

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Added by Vincent Granville on July 6, 2013 at 10:30pm — 4 Comments

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