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Jim Kaskade

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Top Stories by Jim Kaskade

What do you get when you combine Big Data technologies….like Pig and Hive? A flying pig? No, you get a “Logical Data Warehouse”. My general prediction is that Cloudera and Hortonworks are both aggressively moving to fulfilling a vision which looks a lot like Gartner’s “Logical Data Warehouse”….namely, “the next-generation data warehouse that improves agility, enables innovation and responds more efficiently to changing business requirements.” In 2012, Infochimps (now CSC) leveraged its early use of stream processing, NoSQLs, and Hadoop to create a design pattern which combined real-time, ad-hoc, and batch analytics. This concept of combining the best-in-breed Big Data technologies will continue to advance across the industry until the entire legacy (and proprietary) data infrastructure stack will be replaced with a new (and open) one. As this is happening, I predi... (more)

Most Powerful Voices in Security

The security community has a growing number of influential and important people, especially as the industry rises to meet the need to address more advanced security threats, such as targeted attacks. But how does a company in the security industry truly identify the influential people? And then once identified, how does one use influential voices to help promote their brand? In this study, we answer the first question - how to identify the most powerful voices in your industry, focusing on the security space, and as part of this we provide you a list of people to follow for the b... (more)

Real-time Big Data or Small Data?

Have you heard of products like IBM’s InfoSphere Streams, Tibco’s Event Processing product, or Oracle’s CEP product? All good examples of commercially available stream processing technologies which help you process events in real-time. I’ve been asked what I consider as “Big Data” versus “Small Data” in this domain. Here’s my view. Real-Time Analytics Small Data Big Data Data Volume None None Data Velocity 100K events / day (<<1K events / second) Billion+ events / day (>>1K events / second) Data Variety 1-6 unstructured on sources AND 1 single destination (an output file, a SQ... (more)

The Data Era – Moving from Big Data 1.0 to Big Data 2.0

Do you think they truly understood just how fast the data infrastructure marketplace was going to change? That is the question that comes to mind when I think about Donald Feinberg and Mark Beyer at Gartner who, last year, wrote about how the data warehouse market is undergoing a transformation. Did they, or anyone for that matter, understand the significant change underway in the data center?  I describe it as Big Data 1.0 versus Big Data 2.0. Big Data 1.0 I was recently talking to friends at one of our largest banks about their Big Data projects under way. In less than one yea... (more)

SAP and Big Data

SAP customers are confused about the positioning between SAP Sybase IQ and SAP Hana as it applies to data warehousing. Go figure, so is SAP. You want to learn about their data warehousing offering, and all you hear is “Hana this” and “Hana that”. It reminds me of the time after I left Teradata when the BI appliances came on the scene. First Netezza, then Greenplum, then Vertica and Aster Data, then ParAccel. Everyone was confused about what the BI appliance was in relation to the EDW. Do I need an EDW, a BI appliance, an EDW + BI appliance? With SAP, Sybase IQ is supposed to be ... (more)