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How Ingres Is Still Changing the Database World

Back in 2005 Wired magazine published a very interesting issue depicting how George Lucas’ blockbuster movie Star Wars eventually spawned a whole legion of special effects experts, all the way from Pixar to movies by James Cameron. The graphic can be found here if you are interested

It got me to thinking how some of […]

Structured vs. Unstructured Big Data Q&A

I was asked recently to define structured vs unstructured data and how the different types of data were being managed within the enterprise. I thought I’d list my responses below in case you find it useful/interesting. As ever, feedback and debate welcome

What are the challenges seen with the two different types of unstructured […]

NoSQL, NewSQL. MySQL, PostgreSQL and a New Breed of Databases

Last year Matt Aslett of the 415 Group published an blog post titled “What we talk about when we talk about NewSQL”. In it describes NewSQL as “a loosely-affiliated group of companies … what they have in common is the development of new relational database products and services designed to bring the benefits of the […]

Your Big Data Perspective

A couple of days ago I participated in a DMRadio panel titled “How Big Is Big? Why Big Data Comes in Various Sizes”. Prior to the show I listed my thoughts about the topic in this post titled It’s (not) just size that matters.

As with all the DMRadio segments I’ve taken part in, Hosts […]

Big Data meets Borat

Somewhat regular readers of my blog will note that I like me a good analogy, especially one related to popular culture and in which some good laughs that can be had while getting a technically valid point across. See If Seinfeld evaluated MDM vendors, 10 Marketing lessons from @Shitmydadsays Tweets, and Hadoop – The most […]

It’s Not (Just) Size That Matters

This Thursday, July 19, I’m going to be participating in a DM Radio panel titled “How Big Is Big? Why Big Data Comes in Various Sizes,” This will be my 3rd time participating in a DM Radio segment, and if it is anything like the last two, it should be an interesting discussion around the […]

Big Data and MDM – Where Quantity meets Quality

I presented a workshop at the MDM & Data Governance Summit in San Francisco this week on the topic of Big Data and Master Data Management (MDM). It was a particularly interesting topic for me because I have spent the last 8 years working as VP Product Marketing at Siperian (A leading MDM provider acquired […]

Getting Personal … Big Data from Facebook, Where is it all Stored?

As the Facebook IPO frenzy builds up to the pricing and Facebook starts trading this Friday (UPDATE: Facebook has priced at $38 giving it a market cap of about $104B), it got me to thinking about how much data I have uploaded/contributed to Facebook over the last 5 years. Turns out, you can get your […]

Ker Splunk! Big Data IPO. $3B market cap and rising

First of all, congratulations to all Splunk employees, VCs and shareholders! Today is a great day for your company and those of us in Big Data (see who else is who in Big data here).

Almost 12 months ago I wrote a post titled: “LinkedIn’s IPO –A Perfect Storm of Big Data,Open Source and Cloud […]

How Much Is That Hadoop Cluster Really Costing You?

Also published at http://rainstor.com/how-much-is-that-hadoop-cluster-really-costing-you/

Last month when we released our RainStor for Big Data Analytics product edition that runs natively on Hadoop, we raised a lot of eyebrows with two of the points that we were making:

Compression can dramatically reduce the TCO of Hadoop nodes needed SQL access to the compressed data in HDFS […]