Your Cloud Will be a Hybrid – Just Make Sure It’s the Right Hybrid for You

December 9, 2016

by John Dinning Pretty much every organization we talk to is looking at the role the cloud will play in their future analytical architecture. And our research tells us that more than 90% of companies will deploy a hybrid cloud architecture. That’s a good thing, in our view. In fact, we are such great believers… Read More »

5 Ways To Reach Connected Customers Using Big Data

December 5, 2016

By Leslie Dinham In the era of the connected customer, having a big data strategy to collect, store, organize and analyze the trail of deep customer data is critical to the delivery of timely, personalized customer interactions. Fortunately, with the right technology, infrastructure and analytics in place to unlock the full potential of this data,… Read More »

It’s Not Hybrid Unless It All Works Together

November 22, 2016

Despite the vast quantity of talk and enthusiasm for all things cloud, few CIOs and IT architects see the future of their analytics infrastructure as an either/or decision. A more apt description for their designs is hybrid, a word that most commonly means a computing environment that is partially either on-premises or in a private… Read More »

Teradata Consulting and Managed Services for AWS

November 14, 2016

  I’m happy to announce the immediate availability of Teradata Consulting and Managed Services for Amazon Web Services (AWS). While not necessarily “new news” – since we’ve been offering services for Teradata Database, Aster Analytics, and Hadoop for quite some time – we felt it was important to reiterate and reinforce the message prior to… Read More »

Fresh New Features for Teradata in the Cloud

September 20, 2016

By Brian Wood, Director of Cloud Marketing The Teradata Everywhere and other Teradata PARTNERS Conference-related press announcements include a number of cloud-specific highlights for Teradata in the Cloud. This post summarizes the key takeaways. First, a reminder for context: Teradata Hybrid Cloud is a customer environment using a mix of on-premises, private cloud, managed cloud,… Read More »

How about trying complex Data Analytics Solutions for size and fit, before you splash the cash?

September 13, 2016

by Alexander Heidl – Analytics & Business Value Consultant, Teradata International The pressure to deliver Alpha – potential above the market average – is immense. And that’s not surprising because in a quick-change disruptive world, Alpha consistency puts an organisation at the sharp edge of its digitally-driven market. If it can be done quickly, that is.… Read More »

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 »

Announcing Teradata Appliance for Hadoop 6

September 8, 2016

by Kiran Kamreddy Today we are announcing the latest generation Hadoop appliance from Teradata: Teradata Appliance for Hadoop 6. Ever since we introduced the first generation appliance back in 2012, we have been evolving and improving the Teradata Appliance for Hadoop. It is no surprise that Hadoop is being increasingly adopted inside enterprises because of… 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 »