Experienced data management professionals are adopting Hadoop, and they want to use their SQL skills and tools with Hadoop data.
- By Philip Russom
- March 6, 2017
Data originating on cloud or migrating to cloud demands best practices just as other valuable data assets do.
- By Philip Russom
- March 6, 2017
Although we may be subject to intense pressure to meet implementation targets, we should make every effort to avoid treating our user community as beta testers or supplying users with inaccurate program prompts or user documentation.
- By Mike Schiff
- February 15, 2017
Infrastructure speed has reached a plateau. Today's enterprises should be seeking out predictive, automated solutions to improve their enterprise infrastructure.
- By Rod Bagg
- February 9, 2017
Learn the basic concepts behind predictive analytics, 14 challenges facing predictive analytics, and 5 ways to improve unstructured data security.
- By Lindsay Stares
- February 2, 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?
So-called smart machines will be used in nearly one-third of large enterprises by 2021. That's tantamount to mainstream adoption.
If you don't know where to start with big-data-as-a-service, upstart player Cazena says it has just the thing for you. Cazena markets managed data mart and data lake services -- with a twist.