Merge different data sources with customer data for smarter analytics, five persistent misconceptions about cloud computing, and the pros and cons of open source software for business use.
- By Quint Turner
- December 8, 2016
Today read 10 predictions for big data and IoT, a discussion of the biggest myths about big data, and the most common reasons big data and analytics initiatives fail.
- By Quint Turner
- December 7, 2016
At the re:Invent conference, Amazon announced a slew of new products, services, and features, including a technology for querying against its S3 storage service and a new AI framework.
- By Steve Swoyer
- December 6, 2016
Big data presents significant business opportunities when leveraged properly. When poorly governed or managed, big data presents significant business and technology risks.
- By Philip Russom
- December 2, 2016
How to handle large amounts of unstructured data, how to optimize your cloud storage, and how data storytelling can help many enterprises.
- By Quint Turner
- December 1, 2016
Learn to limit storage of unnecessary data, how to recover after a data breach, and what 2017 holds for open source security.
- By Quint Turner
- November 29, 2016
At TDWI's recent Executive Summit in San Diego, Chick-fil-A's Justin Winter talked about his company's hugely successful mobile app, which is both a product of advanced analytics and a vital source of marketing and customer data.
Define big data and data science, learn why the U.S. election result doesn’t indicate inherent problems with analytics, and ensure your enterprise is compliant with big data regulation.
- By Quint Turner
- November 28, 2016