Modern analytical workloads are constantly evolving to meet various business requirements and solve a wide variety of challenges posed with various types of data, processing techniques, development styles, delivery types and user types. As a D&A leader how do you make sure that you are able to support current and future D&A use cases?
According to this Gartner report, “Data and analytics leaders looking to build an LDW for diverse analytics use cases should:
- Use the LDW architecture because it remains a current best practice to handle complex and mixed workloads, and helps position itself for the lakehouse, when it matures.
- Map various analytical workloads to the appropriate parts of the LDW architecture, basing them on priority, which in turn will allow for improved visibility toward ROI.
- Build the LDW incrementally, expanding with modular pieces to avoid a big bang approach and reduce the level of risk.
Read this report to learn four top practices for successful LDW implementation, for today and for the future, that focus on architecture, use-case requirements, incremental build and clearly defined deliverables.
To learn how the Denodo Platform can help with your logical data warehouse strategy based upon data virtualization technology and how some of Denodo customers are building their logical data warehouse solution with the Denodo Platform, please visit the website.
Gartner, How to Establish the Logical Data Warehouse for Data and Analytics Use Cases, 10 December 2024
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