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Webinar Summary: Data Mesh and Data Products

DataKitchen

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. They describe five interfaces to a domain: the width (data), the where (location), the what (description), the how (process), and the who (team). Watch the webinar today!

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Top 4 Reasons Why You Should Upgrade Your Stream Processing Workloads To CDP

Cloudera

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera is investing and innovating with Apache Flink for stream processing and analytics.

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Ensono Cuts Costs with Snowflake Connector for ServiceNow

Snowflake

The connector provides immediate access to up-to-date ServiceNow data without the need to manually integrate against API endpoints. Customers get a fully managed service with no additional access fees set by Snowflake. It’s available with no additional access fees set by Snowflake and uses Snowflake credits for compute and storage.

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Introducing Polaris Catalog: An Open Source Catalog for Apache Iceberg

Snowflake

Greater interoperability not only reduces the complexity and costs associated with using many tools and processing engines in parallel, but it would also reduce potential risks associated with vendor lock-in. The remainder of this blog post provides more detail on functionality and hosting options.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

Join Donna Laquidara-Carr in this new webinar as she shares the exciting findings of several recent studies that reveal how portfolio owners, construction managers, and contractors are using data to manage risk, create better projects, and help their businesses gain a strategic edge! You won’t want to miss this webinar!

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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He then noted that the situation has reversed, with more time spent on analytics due to improved techniques, emerging technologies, and better processes. He compared the process to Instagram highlight reels, where the best insights come from multiple takes and iterations. Perfection is an unrealistic goal.

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A Window Into the Future of Data in Motion and What It Means for Businesses

Cloudera

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Data in motion consists of three distinct elements: data flow, message streams, and stream processing and analytics. .

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