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TDWI Upside - Where Data Means Business

IT and Enterprise Data Management


Data Digest: Preventing Threats, Protecting Models, and Regulation Risks

How machine learning can improve cybersecurity, new techniques to protect models from attack, and why regulation confusion could create openings for hackers.

How to Incorporate Graph Analytics into Your Information Strategy

As data volumes grow and business information needs change, graph analytics can be a viable alternative to traditional analytics for specific problems. To assess whether graph analytics fits into your enterprise, you need to understand what graph analytics is and where you can use it.

Modern Requirements for the Operational Data Warehouse

New requirements for data, software, and business practices are driving a new wave of modernization for the operational data warehouse.

Data Digest: Applications for Graph Databases

Developing use cases for graph databases and methods for accommodating multiple types of data stores.

Should a Graph Database Be in Your Next Data Warehouse Stack?

As interest grows in new technologies, many enterprises are reconsidering their data warehouses. What makes graph databases different from traditional RDBMSs?

Data Digest: Regulations, Data Breaches, and Data Stewardship

Being ready for new data privacy regulations, why IT decision makers are concerned about security, and how to define roles for better data governance.

A Cohesive Framework for Deploying Scalable AI Systems

As enterprises adopt AI, they'll need a sound deployment framework that enables security, compliance, and session management.

CEO Perspective: Data Engineering Key to Data Analytics

Despite the push into AI and ML, enterprises should be focused on the data platform.

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