Remove tag performance
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Bun: lessons from disrupting a tech ecosystem

The Pragmatic Engineer

Its top focus is performance, and according to benchmarks shared in the launch video , around 10x performance increases can be observed when building packages, running code, or handling inbound requests on a server. Now of course, Node has interest in innovating in all areas, including performance. But how is Bun so fast?

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A New Horizon for Data Reliability With Monte Carlo and Snowflake

Monte Carlo

Snowflake object tagging enables data teams to easily organize and classify their data objects with helpful context like ownership and priority level. And with Monte Carlo’s deep Snowflake integration, those object tags can also be automatically imported and applied to your Monte Carlo Access View as well. Route it to fix ASAP.

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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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Empowering Seamless Data Governance with a New User Experience in Snowsight 

Snowflake

We understand the importance of quick and proactive identification of objects requiring governance, as well as the implementation of protective measures using tags and policies. Whether assigning tags, implementing masking policies, or applying row access policies, the process is now easy and simple.

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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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Anomaly Detection using Sigma Rules (Part 4): Flux Capacitor Design

Towards Data Science

Similarly, our flatMapWithGroupState will accumulate tags (evaluated true/false Sigma expressions) and later release them. Our Flux Capacitor function is easy to configure and let’s the user specify how and when each individual tag is stored and retrieved. This evaluator is a no-op, it simply passes the current tag value through.

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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Based on this reasoning, we tag all the accounts that acquire licenses very quickly as anomalous. It should be noted that the heuristics, even though work as a great proxy to embed the knowledge of security experts in tagging anomalous accounts, may not be completely accurate and they might wrongly tag accounts as anomalous (i.e.,