Download this report to learn about the many available technologies and practices for real-time data, BI, and analytics, plus how they enable fast-paced business processes and yield a wide range of
Data blending isn’t simply a matter of throwing data together; issues like data quality still need to be addressed. This Checklist Report
focuses on helping organizations understand the steps and features that are part of data blending.
This Checklist Report focuses on helping organizations demystify several cloud BI issues. It examines the models emerging as
companies adopt the cloud.
This TDWI Checklist Report will help your organization prepare for in-memory computing by discussing how it improves application performance. In-memory computing enables the peaceful coexistence of transaction processing and analytics without demanding data extraction, transformations, rampant replication, and heterogeneous computing platforms.
This TDWI Checklist Report details six areas where small and midsize businesses (SMBs) should focus as they move beyond spreadsheets to improve capabilities for gaining data insights.
Big data analytics is about applying advanced methods and technologies to derive insights from very large and diverse data sets that often include varied data types and streaming data. This TDWI Checklist Report discusses steps for realizing value from big data and analytics for better customer intelligence.
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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