TDWI research shows that while organizations cite generative AI as a top priority, most are struggling with implementation and lagging in maturity. Join us for an insightful TDWI Summit event where ...
Enterprise data quality management can only become a universal practice if it is transformed from the specialized practice of a core group of data stewards into something that all knowledge workers ...
Why Google is a Leader and positioned furthest in vision among all vendors evaluated in the 2024 Gartner Magic Quadrant for Cloud Database Management Systems Google’s strengths and challenges among ...
Your enterprise already uses operational data—such as customer information, financial transactions, and inventory levels—to improve processes and customer experience. But if this information isn’t ...
Discover how Google Cloud's multi-layered data security approach can help safeguard your sensitive data assets in the cloud. From data platform-level security features to access controls, perimeter ...
Are you ready to harness the full potential of AI for your organization? In today's rapidly evolving business landscape, organizations are increasingly turning to AI to drive innovation, optimize ...
Cloud data lakes are built to fuel data-driven decision-making and AI transformation. What’s more, they typically deliver greater ROI than their on-premises counterparts. Benefits like these are ...
TDWI instructor Chris Adamson defines dimensional data modeling as “the nexus of a holistic approach to managing business intelligence, analytics, and governance programs. Used at a program level to ...
Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant ...
Nothing can ruin analytics faster than bad data. If users lose trust in the data, they will lose confidence in analytics and be unable to put insights into action. Organizations are facing new ...
Technologies are evolving at a breakneck pace, and business demand for data and analytics is expanding. Learn how to modernize your platforms and architecture to meet the challenge of delivering data, ...