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Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data

Data Engineering Podcast

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs. How is the governance of DataHub being managed?

Metadata 100
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Being Data Driven At Stripe With Trino And Iceberg

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg?

Data Lake 147
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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? Data As Code is a very strong choice : we do not want any UI because it is an heritage of the ETL period.

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Metadata: What Is It and Why it Matters

Ascend.io

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. This is what managing data without metadata feels like.

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Unlocking Effective Data Governance with Unity Catalog – Data Bricks

RandomTrees

The Unity Catalog is Databricks governance solution which integrates with Databricks workspaces and provides a centralized platform for managing metadata, data access, and security. Improved Data Discovery The tagging and documentation features in Unity Catalog facilitate better data discovery.

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Addressing The Challenges Of Component Integration In Data Platform Architectures

Data Engineering Podcast

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

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Data Engineering Weekly #198

Data Engineering Weekly

Canva writes about its custom solution using dbt and metadata capturing to attribute costs, monitor performance, and enable data-driven decision-making, significantly enhancing its Snowflake environment management. link] Grab: Metasense V2 - Enhancing, improving, and productionisation of LLM-powered data governance.