Integrate Data, Processes & People: End Data Ownership Turf Wars

Posted on: November 18th, 2014 by Guest Blogger No Comments

 

The biggest thing I’ve realized over the past couple of months, other than Tony Romo is one of the best NFL players I’ve ever seen — is the fact that data ownership is still a huge problem for companies of all types. Tony’s numbers keep getting more impressive game by game – and likewise the         Read More…

Data Lake Best and Worst Practices

Posted on: November 10th, 2014 by Dan Graham No Comments

 

Data Lake Best Practices Where’s the Money? Rule #1: start with a data lake justification owned and signed off on by the business leaders. Regardless of how inexpensive a data lake may seem, it still costs money. OK, so what is the value of the data lake? Focus as much energy as possible on getting         Read More…

Optimizing Disk IO and Memory for Big Data Vector Analysis

Posted on: November 10th, 2014 by Daniel Abadi No Comments

 

At Yale, every spring I usually teach an advanced database systems implementation class that covers both traditional and more modern database system architectures. I often like to test my students with questions like the following: Let’s say the following SQL query is issued to a data warehouse for a retail store (the query requests the         Read More…

Teradata QueryGrid and Adaptive Optimization

Posted on: October 17th, 2014 by Daniel Abadi No Comments

 

Not Your Typical DBMS-Hadoop Connector For those readers who followed my writings for the Hadapt blog before it was acquired by Teradata http://hadapt.com/blog/, one of my common refrains was the architectural flaws inherent in database connectors to Hadoop. My problems with connectors centered on the following issues: (1) Big data may mean different things to         Read More…

Why a Portable History Is Key To a Productive Data Lake

Posted on: October 14th, 2014 by Ariff Kassam No Comments

 

The Latin phrase “sine qua non” means, “something that without it you have nothing.” In the emerging world of the data lake: a complete, portable, and shareable understanding is the sine qua non for productivity. Why? With it, you can rapidly create, preserve, and share a way of understanding data that is valuable to your         Read More…

Real-time data acquisition causes disruption to analytics for SAP R/3

Posted on: October 13th, 2014 by Patrick Teunissen 1 Comment

 

– A series on what is next in analytics on SAP R/3 – part 3 Most engineers do not like big words. However our newest “near-real-time” software has caused disruptive change! That is, for my team –and all that we have been working on for so many years. Why is it disruptive? Identifying and capturing         Read More…

Open Source and the Last Mile of Data Analytics

Posted on: October 7th, 2014 by Ron Bodkin No Comments

 

To understand the role of open source in data analytics, it is helpful to remember a concept from telecommunications. “The last mile,” the distance from the distribution points of telecom and cable operators to the house, was always seen as a bottleneck. But there was good reason for that bottleneck. About 95% or more of         Read More…

Overview of Teradata Loom Technology

Posted on: October 7th, 2014 by Daniel Abadi No Comments

 

A little less than two months ago, I joined Teradata as part of their acquisition of my start-up, Hadapt. One thing that has struck me at Teradata thus far is the large amount of cool pockets of technology that they have (both in their core and peripheral products) that I had been previously unaware of.         Read More…

The Cloud Isn’t a Silver Bullet for Analytics

Posted on: September 30th, 2014 by Guest Blogger No Comments

 

The cloud is not a silver bullet. In fact, what good is the cloud unless it solves your problems? The key to understanding the value of the cloud is to know what you want and then determine whether available solutions are a good fit. In its first era, the cloud offered applications like Salesforce.com or         Read More…

How Real-Time are Real-Time Systems, Really?

Posted on: September 17th, 2014 by Patrick Teunissen 1 Comment

 

- A series on what is next in analytics on SAP R/3 – part 2  Last year, my team was tasked to deliver a “real-time analytical” capability on SAP R/3. My first reaction was that our solution cannot be real-time, as it is going to be downstream of another system using a data transfer interface.         Read More…