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Metadata Management and Data Governance with Cloudera SDX

Cloudera

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. View and access entities that are classified with tags related to “finance.”

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Type-safe data processing pipelines

Tweag

Moreover, these steps can be combined in different ways, perhaps omitting some or changing the order of others, producing different data processing pipelines tailored to a particular task at hand. Yet, some of these steps might depend on each other, and some warnings might only make sense before certain other optimizations have happened.

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Metadata Management & Data Governance with Cloudera SDX

Cloudera

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. View and access entities that are classified with tags related to “finance.”

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How DoorDash Migrated from StatsD to Prometheus

DoorDash Engineering

Challenges Faced With StatsD StatsD was a great asset for our early observability needs, but we began encountering constraints such as losing metrics during surge events, difficulties with naming/standardized tags, and a lack of reporting tools. We’ll briefly introduce StatD’s history before diving into those specific issues.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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A New Horizon for Data Reliability With Monte Carlo and Snowflake

Monte Carlo

Schema: Did the organization of the dataset change in a way that will break other data operations downstream? Snowflake object tagging enables data teams to easily organize and classify their data objects with helpful context like ownership and priority level. Did one of the 58 dashboards tagged for marketing stop loading fresh data?

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Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset

Rockset

Before vector search, search experiences primarily relied on keyword search, which frequently involved manually tagging data to identify and deliver relevant results. As an example, if we wanted to search for tagged keywords to deliver product results, we would need to manually tag “Fortnite” as a ”survival game” and ”multiplayer game.”