It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the ...

Last week’s Informatica World 2016 brought out a lot of talk involving data quality, real-time live data and the automation of ingesting and analyzing data in order to turn it into something ...

It’s sad but true, most attempts by companies to leverage data as a strategic asset fail. The challenge of both managing vast amounts of disparate data and then distributing it to those who can use it ...

Over the past decade, the push for digital transformation has touched nearly every industry and has changed the game for BI. Now, every system and device has a digital trail, with data varying in ...

Overcoming DevOps obstacles—such as slow, manual, poor-quality test data—is key toward accelerating pipelines. With speed being a central success factor for DevOps pipelines, increasing velocity ...

SAN DIEGO, Calif., Sept. 28 — To improve the agility of data analytics environments, Teradata (NYSE: TDC), the big data analytics and marketing applications company, today announced it is the first ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. From a focus on improving software delivery to discussing ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...

As system architecture moves to the cloud, understanding the impacts of new code releases and points of failure requires a whole new approach. The increase in agility, bandwidth, and security has been ...

Data science and machine learning are often associated with mathematics, statistics, algorithms and data wrangling. While these skills are core to the success of implementing machine learning in an ...