TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
Companies today are asked to manage the dual challenge of exponential data growth and increased regulation or face fines and long-term damage to their brands.
While everyone has a slightly different definition of big data, Hadoop is usually the first technology that comes to mind in big data discussions.
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning—as well as deep learning, natural language processing, and cognitive computing—are driving innovations in identifying images, personalizing customer experiences, navigating self-driving cars, and much more.
When selecting a business analytics platform, it is critical to assess the underlying architecture of the platform.
If you’ve ever shopped on Amazon, Pandora, or Netflix, you’ve experienced recommendation systems in action. Learn how these sophisticated systems analyze historical buying behavior and make recommendations in real time, while you’re shopping.
Next-generation storage systems leverage the power of metadata to better identify, utilize, protect, and control unstructured business data.
Data is at a crossroads. Massive corporations are consolidating our data while many of us advocate for transparency and access for all. It’s time to embrace postmodern analytics for even better performance, deeper insights, and broader participation.