RESEARCH & RESOURCES

TDWI Checklist Report: The Modern Data Warehouse

TDWI Checklist Report | The Modern Data Warehouse: What Enterprises Must Have Today and What They'll Need in the Future: Download

For organizations that need a modern data warehouse that satisfies new and future requirements, we offer a checklist of our top six recommendations. These can guide your selection of vendor products and your solution design.

File Type: .pdf File Size: 593 KB Duration: 9 pages


 

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Checklist Pentaho Data Lakes

TDWI Checklist Report // Emerging Best Practices for Data Lakes: Checklist Emerging Best Practices for Data Lakes

Forward-looking businesses need discovery-oriented analytics, but discovery analytics tends to work best with large volumes of raw source data. The data lake enables analytics with big data and other diverse sources. This TDWI Checklist Report discusses many of the emerging best practices for data lakes.


Evolving Toward Modern DW checklist cover

TDWI Checklist Report | Evolving Toward the Modern Data Warehouse: What Enterprises Require Today, What They'll Need Tomorrow: Checklist Evolving Toward the Modern Data Warehouse

User organizations facing new and future requirements for big data, analytics, and real-time operation need to start planning today for the data warehouse of the future. This Checklist Report drills into seven key recommendations for solution design, listing and discussing many of the new vendor and open source product types, functionality, and user best practices that will be common in the near future, along with the business case and technology strengths of each.


Checklist cover Emerging Design Patterns

TDWI Checklist Report | Emerging Design Patterns for Data Management: Checklist Emerging Design Patterns for Data Management

This Checklist Report drills into some of the emerging design patterns and platforms for data that modern data-driven organizations are embracing. The goal of the report is to accelerate users’ understanding of new design patterns and data platforms so they can choose and use the ones that best support the new data-driven goals of their organizations.