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RESEARCH & RESOURCES

TDWI White Paper Library

TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.


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The Technical Guide to Composable CDPs

June 14, 2024

From the obsolescence of bundled CDPs to the advantages of composable solutions, dive into the key trends driving innovation in customer data platforms (CDPs).


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TDWI Checklist Report | Five Steps to Optimize Both Cost and Performance with Cloud Data Platforms

May 15, 2024

Critical to achieving goals is being able to optimize both cost and performance of cloud data platforms, which is the focus of this TDWI Checklist Report.


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Insight Accelerator | Using Generative AI to Improve Operational Efficiency and Data-Driven Decision-Making

May 15, 2024

This TDWI Insight Accelerator focuses on current enterprise practices and key steps your organization can take to unlock the potential of generative AI.


TDWI Best Practices Report | Reducing Time to Insight and Maximizing the Benefits of Real-Time Data

May 15, 2024

This TDWI Best Practices Report emphasizes reducing insight times by addressing data quality and integration as well as by leveraging modern technologies for real-time data utilization.


Data Fabric Complemented by Data Mesh

April 24, 2024

stc Group is adopting an innovative approach to manage its data assets where data fabric and decentralized practices are positioned as complementary approaches.


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How to Build an AI-Driven Data Strategy

February 9, 2024

Download this white paper today for the tactics and steps you need to create a successful data strategy for your enterprise.


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Snowflake Data Science Workloads with Snowpark Python and Dataops.live

January 29, 2024

Download the full white paper today to explore how Snowpark Python and DataOps.live can transform your data science workload and propel your organization into a new era of data management efficiency.


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