Let your résumé show that your in-depth knowledge has been certified by TDWI, the industry’s premier provider of data and analytics education. Recognized by CIO Magazine as the top business ...

Seminole Gaming operates seven casinos throughout Florida, including two Hard Rock Hotel and Casinos. The multi-billion dollar company prides itself on controlling costs while achieving ultra-high ...

To help you better understand how Hadoop can be integrated into business intelligence (BE) and data warehousing (DW) and why you should care, I’d like to share with you the series of 27 tweets I ...

Generative AI is driving organizations to migrate their data platforms to modern data architectures. As enterprises embrace platforms for real-time streaming data, they will require a high-performance ...

With the rapid evolution of AI, ML, and self-service analytics, businesses are facing unprecedented opportunities and challenges. Join us as we uncover the strategies, technologies, and insights you ...

Data environments are becoming increasingly complex. Many organizations are employing what TDWI terms a multiplatform data architecture to manage new and disparate data sources. This might include the ...

Visit the CBIP group at tdwi.org/linkedin/cbip. Since 2003, TDWI and the ICCP have provided the CBIP certification to global business and industry through their ...

At Quicken Loans, we believe that optimal model function is best achieved by supplementing our models and data scientists with an advanced suite of supporting technology. We call this our “model ...

Self-service analytics continues to be a top priority for organizations, according to TDWI research. Yet many teams still struggle with adoption. Business users want direct access to data to support ...

As organizations expand their use of AI and machine learning, ensuring that data is AI-ready is more critical than ever. High-quality, well-integrated data fuels better AI models, driving innovation, ...

As organizations prioritize data democratization and AI-driven analytics, ensuring high-quality, trustworthy data has never been more crucial. Data quality management is a continuous, complex process ...

TDWI Research shows that businesses are prioritizing AI, advanced analytics, and expanded self-service programs. These pressures are driving data leaders to revise their data strategies as they work ...