Today read tips from a data scientist about three data challenges, techniques for getting business value from IoT technologies, and reasons to consider cloud BI tools versus a traditional data warehouse.
- By Quint Turner
- August 4, 2016
Articles explore how to work well with data scientists, best practices for handling data, calculating storage requirements for IoT and big data projects, and understanding cyber attacks.
- By Quint Turner
- August 4, 2016
A new survey basically confirms it: we're in the midst of a renaissance in which machine learning technologies are both widely available and increasingly easy to use.
- By Steve Swoyer
- August 4, 2016
Read how predictive analytics may help detect and predict data breaches, why what you don’t know can hurt your cybersecurity, and what enterprises should fix about their cloud security.
- By Quint Turner
- August 3, 2016
Politics is dominated by data these days: polls, demographics, and trends abound. In these articles, learn how analysts use various analytics and statistics to project potential outcomes.
- By Lindsay Stares
- August 3, 2016
An increasing variety of data types, analytics needs, and business uses drive data architecture decisions today. Follow this real-world, informal evaluation of SQL, NoSQL, and Hadoop solutions that address a business use case.
- By Jake Dolezal
- August 3, 2016
Today read tips for choosing the right big data solution, using predictive analytics to improve your content marketing, and building an enterprise-ready data lake.
- By Quint Turner
- August 2, 2016
Do you need to modernize your center of excellence? Consider these tactics to guide your enterprise analytics to the next level.
- By Jill Dyché
- August 2, 2016