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Release Management For Data Platform Services And Logic

Data Engineering Podcast

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.

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Modern Data Management Essentials: Exploring Data Fabric

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Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

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Low Code And High Quality Data Engineering For The Whole Organization With Prophecy

Data Engineering Podcast

In this episode he shares his motivations for creating Prophecy, how he is leveraging the magic of compilers to translate between UI and code oriented representations of logic, and the organizational benefits of having a cohesive experience designed to bring business users and domain experts into the same platform as data engineers and analysts.

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Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Data lakes are notoriously complex. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.

Building 278
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Importance Of Employee Data Management In HRM

U-Next

Employee database software is quickly becoming a must-have for HR and people managers. Companies can achieve new heights with the right management and administration tools. A firm can benefit immensely from maintaining accurate and clean employee data, as it is still a difficult task. . What Is Employee Data Management? .

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Stitching Together Enterprise Analytics With Microsoft Fabric

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. Closing Announcements Thank you for listening!

Data Lake 162
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4 Key Trends in Data Quality Management (DQM) in 2024

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Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. Embrace automation to streamline data quality processes like profiling and standardization.