TDWI Upside - Where Data Means Business

Data Lakes and Data Storage


Minimizing the Complexities of Machine Learning with Data Virtualization

How the features and benefits of data virtualization can make working with data easier and more efficient.

Data Requirements for Machine Learning

Machine learning can enable new forms of predictive analytics and embed algorithm-driven intelligence into many software applications. However, none of that is possible without the right data, captured and processed the right way.

Data Digest: Security Flaws, Increased Attacks, Governance Tips

Learn about the basic security many enterprises lack, the increased cyberattacks faced by industrial IoT, and how to keep data lakes properly governed.

5 Use Cases for Integrating Big Data Tools with a Data Warehouse

These five use cases are good examples of how you can use big data tools to stage data for your data warehouse.

Balancing the Challenges and Opportunities of Multiplatform Data Architectures

Today's architectures achieve a level of complexity that is difficult to manage and afford -- but they can enable greater data diversity, analytics, and business innovation.

Data Digest: Managing Data Lakes and Cloud Security

Understanding data in a lake, why data lakes are moving to the cloud, and how to stay ahead of modern cloud security.

Long Live the Traditional Data Warehouse

A data warehouse is more than a storage repository. Don't lose sight of the benefits a traditional warehouse provides.

Big Data, Infrastructure, and Performance

Organizations need to carefully study the effects of big data, advanced analytics, and artificial intelligence on infrastructure choices.

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