Integrating voter data from dozens of sources in dozens of formats presented a data quality problem for NationBuilder.
- By Brian J. Dooley
- April 10, 2017
FreeSight isn't like other spreadsheet-esque offerings. A so-called "governance spreadsheet," it supports repeatability and reuse in a class unto itself.
Three things that distinguish data prep from the traditional extract, transform, and load process.
- By Wei Zheng
- February 10, 2017
Big data goes beyond volume, variety, and velocity alone. You need to know these 10 characteristics and properties of big data to prepare for both the challenges and advantages of big data initiatives.
- By George Firican
- February 8, 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
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.
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.