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Gaining Faster Insights From Faster Data
TDWI’s new Best Practices Report examines how organizations can improve practices, strategies, team leadership, and technology use to accelerate speed to insight. The report’s author discusses where organizations are now in reducing latency throughout their data life cycles and how they can improve.
January 15, 2020
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What’s Ahead in Data Management in 2020?
Join a panel of experts hosted by Philip Russom, TDWI’s lead analyst for data management, as they discuss data management’s most important trends, including evolving data volumes, structures, sources, interfaces, and latencies, new data platforms, cloud data management.
December 18, 2019
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Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility
Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround.
August 22, 2019
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Business Innovation with Analytics: Four Technologies That Should be on Your Company’s Radar
Four technologies will help you transform your enterprise using data and analytics: machine learning, natural language processing, IoT, and blockchain. We’ll explain why they’re important for your digital transformation, best practices for getting started, and what’s ahead for each technology.
July 30, 2019
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Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility
Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround.
June 27, 2019
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Using DataOps for Data Pipeline Engineering Quality
The more apps you have, the more complex it is to develop and test data pipelines to ensure the quality of the data flowing through them. Learn DataOps concepts and how DevOps can automate key aspects of data pipeline quality and ongoing monitoring across the entire data life cycle.
June 20, 2019
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