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.
August 23, 2019
This report from Dresner Advisory Services examines user attitudes and experiences when it comes to choosing and using from among the wide range of current business intelligence tools and platforms available.
Sponsored by MicroStrategy
August 23, 2019
In a landscape defined by major skill gaps, hectic schedules, and ever-shortening attention spans, it takes both technology and technique to arm everyone with the data and intelligence they need to thrive.
Sponsored by MicroStrategy
August 23, 2019
This whitepaper explains how HyperIntelligence helps organizations operationalize their existing investments and arm everyone across the organization with intelligence.
Sponsored by MicroStrategy
August 23, 2019
With trends such as big data, artificial intelligence and IoT dominating today’s business technology headlines, the buzz around enterprise mobility (now considered known and familiar) may have lessened, but its importance has not.
Sponsored by MicroStrategy
August 19, 2019
This report explores eight areas where the appropriate combination and placement of functionality and data across data warehouses and data lakes optimally supports multiple business and technical needs.
Sponsored by Cloudera and Intel
August 19, 2019
This report describes the five key technical architectural requirements that any platform for data warehouse modernization must satisfy.
Sponsored by Cloudera and Intel
August 7, 2019
Data and analytics initiatives are failing because yesterday’s processes and systems can no longer meet today’s business requirements. Data pipelines are breaking and data quality is suffering. DataOps seeks to right the ship with processes and technologies that improve the speed, efficiency, and flexibility of data pipelines. Read this report to learn how DataOps applies DevOps, agile, and lean manufacturing principles to data management.