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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.


Dummies e-book cover

Data Warehouse Automation in Azure for Dummies

April 5, 2022

Find out how a cloud data warehouse in Azure has advantages in cost, time to value, and the ability to work with real-time data across the organization for analytics.


Qlik white paper cover image

Data Integration Success Stories: 12 Solutions to the Top Data Delivery Challenges

April 5, 2022

See how enterprises are overcoming barriers and delivering on the promise of their data, faster.


Data Governance in the Modern Data Analytics Pipeline: How to Manage Quality and Security

April 4, 2022

How do you balance rising demand for fast access to data against quality risks and security threats? With modern, secure, efficient data-to-analytics pipelines.


white paper cover

Top Cloud Data Warehouses for the Enterprise: Amazon vs. Azure vs. Google vs. Snowflake

April 4, 2022

This e-book describes leading cloud data warehouses and their noteworthy differences and proven approaches that make them accessible, effective, and efficient for all data users.


white paper

Unlocking Mainframe Data for Modern Cloud Uses

April 4, 2022

In this e-book, you’ll discover the modern data integration approaches that allow you to leverage mainframe data for data warehouse automation, operations monitoring, modern app development and more.


white paper

SAP Made Simple: 3 Ways Qlik Transforms SAP Data into Value

April 4, 2022

In this e-book, you’ll learn how Qlik data integration and analytics solutions supercharge your SAP data in a trusted way that’s SAP certified.


Enterprise Architect’s Guide: Top 4 Strategies for Automating and Accelerating Your Data Pipeline

April 4, 2022

How can you satisfy today’s real-time data requirements while keeping data traceable and governed?


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