Three things that distinguish data prep from the traditional extract, transform, and load process.
- By Wei Zheng
- February 10, 2017
To get full business value from big data and other new data sources, many organizations use a data lake atop Hadoop to capture, process, and manage diverse data at scale for business analytics.
- By Philip Russom
- February 2, 2017
As enterprises look to put their best foot forward in 2017, many are increasingly turning to text analysis to improve customer experiences and business processes.
- By Terry Lawlor
- February 1, 2017
Human biases are easily skewed by newer data because it makes up an ever-larger proportion of the data landscape.
- By Barry Devlin
- January 27, 2017
Pessimists are predicting the end of Hadoop -- "peak Hadoop," in the words of one influential analyst. Optimists say Hadoop's future is assured. Who's right?
Cybersecurity has been in the news throughout 2016 as the number and severity of attacks has increased. A new report presents analysis on the types of attacks that are growing, the dangers posed by IoT, and the security trends to expect this year.
- By Lindsay Stares
- January 13, 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
What will future data architectures look like? You can bet that something like data federation will be in the mix. Because both data storage and data processing are -- and will continue to be -- highly distributed, federation is inevitable.