RESEARCH & RESOURCES

TDWI Checklist Report | Adopting Next-Generation Data Technologies: Download

Tools from new vendors incorporating new big data technologies (such as Hadoop) for distributed and parallel computing and NoSQL data management are rapidly being evaluated and brought into organizations. At the same time, numerous vendors of traditional platforms are offering the same or similar new technologies that are more robust and have more enterprise-ready capabilities than the new technologies can provide. This Checklist Report offers several important items to consider for your data management infrastructure, whether your implementation is on-premises, in the cloud, or a hybrid.

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Best Practices Report | Data Lakes: Purposes, Practices, Patterns, and Platforms: Best Practices Report | Data Lakes: Purposes, Practices, Patterns, and Platforms

One of the more popular subjects in data modernization today is the addition of data lakes to many different ecosystems. This report defines data lake types and discusses emerging best practices, enabling technologies, and real-world use cases.


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TDWI Checklist Report | Machine Learning for Business: Eight Best Practices to Get Started: Checklist Machine Learning for Business Eight Best Practices to Get Started

In a recent TDWI survey, 51 percent of respondents said that enhancing business analysts’ skills was one of their top two strategies for growing their data science competencies. How do businesses get started with machine learning? This Checklist defines machine learning and discusses best practices for the business as it takes the next step on its analytics journey toward using machine learning.


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TDWI Checklist Report | Rethinking Enterprise BI to Fit a Self-Service World: Checklist Rethinking Enterprise BI to Fit a Self-Service World

Business intelligence (BI) is becoming increasingly democratized, and realizing value from BI tools is no longer limited to an exclusive group with technical expertise. This Checklist Report focuses on how organizations can revise and revitalize enterprise BI in the age of self-service technology.