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IoT

Explore IoT Content

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Research & Resources

Webinars

  • Data Architecture for IoT Communications and Analytics

    Executing your IoT vision demands organization and discipline when it comes to data management and oversight, and in this webinar we consider aspects of a data architecture for IoT communications and analytics. February 23, 2021 view now

  • 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 view now

  • 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 view now

  • 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 view now

  • 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 view now

  • 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 view now