By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES

TDWI Checklist Report: Satisfying New Requirements for Data Integration

TDWI Checklist Report | Satisfying New Requirements for Data Integration: Asset

Mounds of structured data, unstructured data, big data, and advancements in cloud technology are imposing new requirements for data integration. This TDWI Checklist Report will explore some of the key drivers these new requirements are intended to address. Whether you are looking to support the performance needs of big data applications, filter concepts from unstructured data, monitor hundreds of data feeds for unexpected behavior, export data across enterprise boundaries, or provide real-time reporting and analysis, there is a rapidly expanding need for data integration competency that extends well beyond traditional ETL.

File Type: .pdf File Size: 538 KB


 

Related Items: To download additional items, select those you are interested in and click the submit button at the bottom of the page. You will be able to download the current item and any additional items you select.

report cover image

TDWI Best Practices Report | Transforming Your Business Through Artificial Intelligence: Asset

This TDWI Best Practices Report explores trends, considerations, and opportunities associated with successful implementation of AI in enterprise digital business transformation initiatives.


digital dialogue cover image

TDWI Digital Dialogue | Driving Customer-360 Insights with Modern MDM, Generative AI, and Cloud Data Platforms: Asset

Download this discussion recap about using cloud data platforms, master data management (MDM), and generative AI to overcome customer data challenges.


checklist report cover image

TDWI Checklist Report | Generative AI in Practice: Exploring Use Cases to Harness Enterprise Data : Asset

This TDWI Checklist Report explores several popular generative AI use cases as well as how to get started with generative AI and put it into production with company data.