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TDWI Upside - Where Data Means Business

Four Tips to Modernize Legacy ETL Processes

Modernizing ETL, especially the underlying infrastructure that supports it, across all your lines of business is vital for enhancing downstream analytics and decision-making.

How a Universal Semantic Layer Enables Consistent Answers to Business Questions

The proliferation of data models and business logic across different tools has become problematic. The beauty of a universal semantic layer is that it supports many data sources and many BI systems and data applications so teams can continue to use their preferred tools.

How to Eliminate Data Silos in Start-Ups

Navigating the challenges of data silos is paramount for start-ups aiming at seamless scalability. This guide draws inspiration from professional experience and case studies, offering start-up leaders a comprehensive step-by-step strategy to eliminate silos.

Changing Organizational Needs Are Driving Integration Changes

Enterprise spending on integration solutions continues to climb. What’s driving this growth and how is it impacting your organization?

Data Management and the Next Generation of AI

James Kobielus, TDWI’s senior director of research for data management, talks about how to update your data management practices to prepare for the next generation of AI.

Modern Data Engineering with Matt Florian

Matt Florian, partner and cloud analytics practice director with Comerit, discusses modern data engineering and key tips for data engineers.

Three Essential Trends for Data Leaders in 2024

Here’s what to look for -- and suggested actions to take -- when it comes to LLMs, verticalization within your data infrastructure, and consolidation of data operations.

What’s Ahead in 2024 with TDWI’s Fern Halper and Dave Stodder

TDWI analysts Fern Halper, Ph.D., and David Stodder discuss what’s ahead for the data and analytics industry in 2024, including data integration modernization, generative AI, and self-service capabilities.

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