Tag Archives: teradata

IntelliCloud Now in AWS Ireland – and Much More!

July 18, 2017

Good news! Teradata IntelliCloud has been upgraded with three new capabilities that are important to customers: International expansion to AWS Ireland – first AWS region outside of the United States for IntelliCloud (benefit = broader footprint) Customer Application Ecosystem – support for customer-supplied BI/DI apps within the Teradata data center in Las Vegas (benefit =… Read More »

Analytics, data science, ethics, robots and GDPR at ‘The Future of Marketing’ event

July 12, 2017

Fascinating perspectives present and future, delivered by The Future of Marketing Initiative, University of Oxford and Teradata Teradata recently joined forces with Saïd Business School (SBS), University of Oxford to host a day-long conference, part of the Oxford Future of Marketing Initiative led by SBS Associate Dean of Research and L’Oréal Professor of Marketing, Andrew… Read More »

Ditch the Old Ways of Product Management. Say Hello to Product Innovation.

January 9, 2017

As the number of data points in the world continues to grow, so do the ways that businesses can stay informed and effectively manage their products. In the past, for example, companies relied on product data in batch form or used recommended guidelines to manage their supply chain. Stores reviewed inventory data, orders were fulfilled… Read More »

Why CFOs Are Thinking Cloud

March 4, 2016

Finance is one of the last major business functions to get serious about adopting cloud technology. Despite the potential cost efficiencies, the risk-averse nature of many finance organizations puts CFOs at risk of being late to the cloud party. This is changing. Cloud technology today is mature enough –and secure enough – to merit CFOs’… Read More »

Teradata Uses Open Source to Expand Access to Big Data for the Enterprise

September 30, 2015

By Mark Shainman, Global Program Director, Competitive Programs Teradata’s announcement of the accelerated release of enterprise-grade ODBC/JDBC drivers for Presto opens up an ocean of big data on Hadoop to the existing SQL-based infrastructure. For companies seeking to add big data to their analytical mix, easy access through Presto can solve a variety of problems… Read More »

Enterprise-ready Hadoop, Now Available as an Appliance

September 28, 2015

By: Clarke Patterson, senior director of product marketing, Cloudera Early this summer, Teradata and Cloudera jointly announced the Teradata Appliance for Hadoop with Cloudera, an engineered, ready-to-run appliance that comes with enterprise-ready Cloudera Enterprise, in addition to our existing software integrations. Today, at Strata + Hadoop World at New York, we are excited to announce the… Read More »

Education Planning – Leveraging the “Five W’s”

September 21, 2015

By Debi Hoefer, Director, Teradata Americas Education First in a series about how customers can learn how to get the most value from Teradata. I’m sure many of you have heard of the “Five W’s” – Who, What, Where, When, Why? The answers to these questions can be used for structured, straightforward information gathering. In… Read More »

The Smarter, Cheaper Approach to In-Memory: Teradata Intelligent Memory

August 5, 2015

By Imad Birouty, Teradata Product Marketing Manager In-memory database processing is a hot topic in the market today. It promises to bring high performance to OLTP and Data Warehouse environments.  As such, many vendors are working hard to develop in-memory database technology. Memory is fast, but still expensive when compared to disk storage. As such, it… Read More »

Optimization in Data Modeling 1 – Primary Index Selection

July 14, 2015

In my last blog I spoke about the decisions that must be made when transforming an Industry Data Model (iDM) from Logical Data Model (LDM) to an implementable Physical Data Model (PDM). However, being able to generate DDL (Data Definition Language) that will run on a Teradata platform is not enough – you also want… Read More »

Teradata RainStor’s Compression and Performance Technology

April 1, 2015

It is well-known that there are two extreme alternatives for storing database tables on any storage media: storing it row-by-row (as done by traditional “row-store” technology) or storing it column-by-column (as done by recently popular “column-store” implementations). Row-stores store the entire first row of the table, followed by the entire second row of the table,… Read More »