I wrote recently about how Teradata has embraced open source technologies in multiple ways over the years. Of course, Hadoop is the technology that at once remains open source’s biggest prospect and toughest nut to crack in terms of reaping value from data at the enterprise-level. So I think it’s worth some extra discussion. Hadoop’s         Read More…

Open Embrace of Open Source

Posted on: August 26th, 2014 by sgnau 1 Comment

 

It’s been nice to see industry coverage in Information Week, Business-Cloud.com and elsewhere pick up on how June’s release of Teradata Aster-R reflects our company’s strong dedication to making open source technologies more enterprise-ready. Aster-R integrates the popular R statistical and data visualization open source language into Teradata systems, and it follows last year’s partnership         Read More…

Helping the R Guru Democratize Data

Posted on: June 27th, 2014 by sgnau No Comments

 

One of the more important dialogues in analytics lately has been around R programmers and how this corps of technology professionals is getting more access to more data in order to reap more business value. R is, of course, the free software environment for statistical computing and graphics widely used by data scientists, statisticians and         Read More…

 

I often mention the best-of-breed vision needed for liquid analytics and how seemingly different technologies should work seamlessly to complete the analytics ecosystem for customers. You’ve also probably heard me talk about connectors and Teradata’s recently-announced QueryGrid to operationalize the liquid vision through coordinated queries across multiple, complex resources and analytic options. Now I’m proud         Read More…

Putting Hadoop to Work in the Enterprise

Posted on: June 5th, 2014 by sgnau No Comments

 

I have always been a big fan of Hadoop and its potential for analytics. Even as we’ve seen Hadoop endure some growing pains on the way to maturity, Teradata has remained committed to finding strategic ways to deploy and manage Hadoop within enterprise architectures. That’s why Hadoop has figured so fully into our best of         Read More…

Liquid Analytics Gets Real for Enterprises

Posted on: April 7th, 2014 by sgnau No Comments

 

Last week I wrote how our industry is evolving toward a “liquid” approach to analytics where queries can be dispatched across one cohesive, interconnected and complementary architecture involving bi-directional movement of data to analytics and/or analytics to data. I used the analogy of an automobile – easy to drive despite tons of complexity under the         Read More…

The Secret to Navigating the Data Lake

Posted on: April 3rd, 2014 by sgnau No Comments

 

The “data lake” term is quickly gaining currency in the big data conversation, and I’d like to discuss the tremendous potential of “liquid analytics” embodied in the data lake approach. But first we need to clarify that the data lake is indeed an approach, not a particular product or service. The elephant in the room         Read More…

One Big Question You Should Ask About Big Data

Posted on: March 20th, 2014 by sgnau No Comments

 

Big data means big opportunities. That’s no surprise. But it also raises big questions, questions that we must consider strategically as we wring value from all the data, including the data in Hadoop. What’s so attractive about Hadoop is that it allows you to store data, and lots of it, in its original form –         Read More…

 

I had the chance to catch up with with Paul Miller, GigaOm Pro Analyst and blogger for Cloud of Data last week to record a podcast on Teradata’s take on Hadoop and the rapidly changing big data landscape. Paul asked me some thought-provoking questions around the competitive landscape within analytics, how companies of all sizes can retain ROI         Read More…

 

My colleagues and I are immensely proud to see Teradata named a “Leader” in Forrester Research’s prestigious “The Forrester Wave™: Big Data Hadoop Solutions, Q1 2014” report.  The Wave publications are granular in their comparative analyses of products and services, and the February 2014 Hadoop report is a much needed road map through a crowded         Read More…