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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. It will result in a sequential scan: demo=# select * from books where data->'tags' ?

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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

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.,

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IT Operations: A Use Case in the 2023 Gartner Critical Capabilities for Application Performance Monitoring and Observability

Dynatrace

In the recently published Gartner® “ Critic al Capabilities for Application Performance Monitoring and Observability,” Dynatrace scored highest for the IT Operations Use Case (4.15/5) AI can help automate tasks, improve efficiency, and identify potential problems before they occur. 5) in the Gartner report.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Edgar uses this infrastructure tagging schema to query and join traces with log data for troubleshooting streaming sessions.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

With SnapStart enabled, function code is initialized once when a function version is published. Saving your cloud operations and site reliability engineering teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time. What is Lambda SnapStart? Built for enterprise scalability.

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Detecting Speech and Music in Audio Content

The Netflix TechBlog

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

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New Series: Creating Media with Machine Learning

The Netflix TechBlog

These timecode tags enable efficient discovery, freeing our creators from hours of categorizing footage so they can focus on creative decisions instead. With media-focused ML algorithms, we’ve brought science and art together to revolutionize how content is made.

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