Tag Archives: data warehouse

Leveraging Our Past to Enable Your Future

September 12, 2016

By Rob Armstrong – As the saying goes; the more things change, the more they stay the same. Those of us fortunate enough to be in the data and analytic field over the past few decades certainly know that is true. While there has been a large change in the data types, data volume and… Read More »

Borderless Analytics Use Cases – Cloud Data Labs, Cloud Bursting, Cloud Disaster Recovery

September 12, 2016

By Rob Armstrong In my last blog, I looked at how the experience of Teradata integrating data and analytics across the enterprise has evolved from the Centralized Data Warehouse to the world of Borderless Analytics. In this blog I wanted to delve a bit deeper into a few of the borderless analytics use cases that… Read More »

7 Questions About Data Lakes and Hadoop, Answered by Dan Graham

August 30, 2016

We had a Q&A session with Dan about Data Lakes and Hadoop, to get the scoop on what he’ll present at Teradata PARTNERS Conference, and here’s what we discovered – 1. What is the biggest opportunity right now with a Data Lake and Hadoop? Answer: Data lakes are best at gathering data from dozens of… Read More »

The Revenge of the Schema: Why Structure Is Crucial to Success with Big Data

November 16, 2015

One way to look at progress in technology is to recognize that each new generation provides a better version of what we’ve always wanted. If you look back at the claims for Hollerith punch card-based computing or the first generation of IBM mainframes, you find that the language is recognizable and can be found in… Read More »

Creating a People-Driven Culture of Analytics: The Message of Strata 2014

February 14, 2014

In years past, Strata has celebrated the power of raw technology, so it was interesting to note how much the keynotes on Wednesday focused on applications, models, and how to learn and change rather than on speeds and feeds. After attending the keynotes and some fascinating sessions, it seems clear that the blinders are off.… Read More »

Total Cost of Big Data: a CFO’s Lesson from WinterCorp and HortonWorks

December 3, 2013

The recent webinar by Richard Winter and Bob Page hammered home key lessons about the cost of workloads running on Hadoop and data warehouses.  Richard runs WinterCorp — a consulting company that has been implementing huge data warehouses for 20+ years.   Bob Page is Vice President of Products for Hortonworks, and before that he was… Read More »

Big Apple Hosts the Final Big Analytics Roadshow of the Year

November 26, 2013

Speaking of ending things on a high note, New York City on December 6th will play host to the final event in the Big Analytics 2013 Roadshow series. Big Analytics 2013 New York is taking place at the Sheraton New York Hotel and Towers in the heart of Midtown on bustling 7th Avenue. As we… Read More »

Teradata’s UDA is to Data as Prius is to Engines

November 12, 2013

I’ve been working in the analytics and database market for 12 years. One of the most interesting pieces of that journey has been seeing how the market is ever-shifting. Both the technology and business trends during these short 12 years have massively changed not only the tech landscape today, but also the future of evolution… Read More »

Anna Littick and the Unified Data Architecture — Part 2

October 16, 2013

Ring ring ringtone. Dan: “Hello. This is Dan at Teradata. How can I help you today?” Anna: “Hi Dan. It’s Anna Littick from Sunshine-Stores calling again. Can we finish our conversation?” Dan: “Oh yeah, hi Anna. Sure. Where did we leave off?” Anna: “Well, you remember our new CFO – Xavier Money — wants us… Read More »

Anna Littick and the Unified Data Architecture — Part 1

October 8, 2013

Ring ring ringtone. Dan: “Hello. This is Dan at Teradata. How can I help you today?” Anna: “Hi Dan. I’m Anna Littick at Sunshine-Stores in Dallas. I believe we swapped some emails and you said I should call you.” Dan: “Oh yeah. You’re the data scientist Ph.D that said you were a little confused by… Read More »