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Daily Crunch: Following ‘significant reduction’ in demand, Peloton puts brakes on production

TechCrunch

Today it’s Prophecy raising $25 million for its “low-code data engineering platform.”. Does the world need another note-taking tool?

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Learning From Your BGP Tables

Kentik

To use this powerful feature you must be running BGP between at least one device in your network and the Kentik Data Engine (KDE). Details on how to do that can be found in Knowledge Base topics BGP Overview and Router BGP Configuration. Since this feature uses one-hour slices of data, the minimum Time Range is two days.

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Kentik Detect for FinServ Networks: Real-World Use Cases

Kentik

This allows non-technical stakeholders from product, marketing, sales, management, and executives to understand the data and gain insight in terms that are relevant to their roles. To learn more about Custom Dimensions, check out our Knowledge Base article. For more information, check out our Dashboards Knowledge Base article.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

data engineering pipelines, machine learning models). Validation alerts are powered by the Cloudera Diagnostic Bundle built inside of Cloudera Manager and its comprehensive collection of both environmental and product-level diagnostics.

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Kentik APIs Enable Multi-Solution Integration

Kentik

To see the full variety of the calls that are available you can refer to our Knowledge Base, which covers both Admin APIs and the Query API. This allows our customers to skip a lot of the heavy lifting that would otherwise be involved in pulling in their Kentik data alongside the other data that they are already graphing.

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The Importance of Chunking in RAG

OpenCredo

This method involves using data retrieved from a knowledge base to assist the LLM in generating its response. Additionally it should help to reduce the chance of hallucinations, by restricting the information in responses to information found in the knowledge base.

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The Why and How of Interface Classification

Kentik

The flow metadata stored in the Kentik Data Engine (our backend) isn’t simply what comes to us from network devices; instead it is enhanced with a variety of derived or externally acquired information (e.g. In the meantime, for more details see the Interface Classification article in the Kentik Knowledge Base.

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