Fast Data hits the Big Data Fast Lane
Of the 3 “V’s” of Big Data – volume, variety, velocity (we’d add “Value as the 4th V) – velocity has been the unsung ‘V.’ With the spotlight on Hadoop, the popular image of Big Data is large petabyte...
View ArticleSAP and databases no longer an oxymoron
In its rise to leadership of the ERP market, SAP shrewdly placed bounds around its strategy: it would stick to its knitting on applications and rely on partnerships with systems integrators to get...
View ArticleWhat will Splunk be when it grows up?
Much of the hype around Big Data is that, not only are people generating more data, but machines. Machine data has always been there – it was traditionally collected by dedicated systems such as...
View ArticleFast Data — the TV show
We’ve been talking about Fast Data over the past year, and so has Oracle. Last week we had the chance to make it a dialogue as we were interviewed by Hasan Rizvi, who heads Oracle’s middleware business...
View ArticleStrata 2013 debrief: Enterprise-ready Hadoop Wars heat up
We’re in the thick of analyst conference season – Informatica last week, SAS tomorrow. So on this Sunday afternoon between gigs, we’re digesting what went down at Strata 2013 in Santa Clara last week....
View ArticleIs the sky the limit for Flash and In-Memory Databases?
Big Data is getting bigger, and Fast Data is getting faster because of the continuing declining cost of all things infrastructure. Ongoing commoditization of powerful, multi-core CPU, storage media,...
View ArticleHadoop vendor ecosystem gaining critical mass
Nature abhors a vacuum, and enterprises abhor platforms lacking tooling. Few enterprises have the developer resources or technology savvy of early adopters. For Hadoop, early adopters invented the...
View ArticleHadoop: The Third Way
Working with Hadoop has been kind of a throwback. Until recently, Hadoop was synonymous with MapReduce programming, meaning that when you worked with Hadoop, it seemed that you were working with a...
View ArticleIBM and Twitter: Another piece of the anaytics puzzle
Roughly 20 years ago, IBM faced a major fork in the road from the hardware-centric model that defined the computer industry from the days of Grace Hopper. It embraced a services-heavy model that...
View ArticleSpark Summit debrief: Relax, the growing pains are mundane
As the most active project (by number of committers) in the Apache Hadoop open source community, it’s not surprising that Spark has drawn much excitement and expectation. At the core, there are several...
View ArticleHadoop and Spark: A Tale of two Cities
If it seems like we’ve been down this path before, well, maybe we have. June has been a month of juxtapositions, back and forth to the west coast for Hadoop and Spark Summits. The mood from last week...
View ArticleSo is Spark really outgrowing Hadoop?
That’s one of the headlines of a newly released Databricks survey that you should definitely check out. Because Spark only requires a JVM to run, there’s been plenty of debate on whether you really...
View ArticleStrata 2015 Post Mortem: Sparking expectations for Smart, Fast Applications
A year ago, Turing award winner Dr. Michael Stonebraker made the point that, when you try managing more than a handful of data sets, manual approaches run out of gas and the machine must come in to...
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