Strategies for quality data science investments, how changing AI could change data scientist roles, and why passwords are more ubiquitous than ever.
- By Lindsay Stares
- February 9, 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
When it comes to embedding analytics insights into your business, technology is the easy part. Figuring out what to do and how to do it is much harder.
Collibra Catalog helps analysts and information users spend less time looking for essential clinical, financial, and operational data and more time solving business challenges.
Making your visualization interactive may involve many different levels of interaction, including providing greater detail, a hands-on feeling, or an invitation to explore.
- By Lindsay Stares
- February 8, 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
Data scientists can consolidate and analyze data in the cloud using R, Python, or other tools on a secure, Spark-powered analytics platform.
Future businesses will be defined by new efficiencies, strategies, and business models created with data-driven knowledge. If companies wish to maintain traditional on-premises ERP solutions, they will face costs and compromises.
- By William McKnight
- February 7, 2017