Three things that distinguish data prep from the traditional extract, transform, and load process.
- By Wei Zheng
- February 10, 2017
Selecting the right data preparation solution can seem like an overwhelming task, but it doesn't have to be if you keep these three best practices in mind.
- By Frank Moreno
- January 20, 2017
According to TDWI survey data, about half of all enterprises expect to replace their data warehouse systems -- in some cases, their analytics tools, too -- over the next three years. What should they replace them with?
- By Steve Swoyer
- January 11, 2017
Think of "hybrid integration" as a new paradigm for data and application integration. It's tailor-made for enterprises in which IT resources live both on premises and in the cloud.
Is your unstructured data siloed, your strategy unclear, or your big data inaccessible? These issues may be holding your enterprise back.
- By Quint Turner
- January 3, 2017
Organizations need to seek the right balance of freedom and oversight that enable users to get their work done self-service style. Here are four trends that will help organizations achieve that goal in 2017.
- By David Stodder
- December 16, 2016
The Apache Spark cluster computing framework is widely used in the enterprise, and most adopters expect to increase their use of Spark over the next year, according to a recent survey of big data professionals.
How much unrefined data may start costing enterprises, why a disruptive business strategy requires data security, and why some enterprises are still unwilling to let go of departmental data silos.
- By Quint Turner
- December 12, 2016