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Webinar Summary: Data Mesh and Data Products

DataKitchen

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Finally, Bergh explained that analysts use the data, and they may have a self-service layer where they can access the data they need to analyze. Watch the webinar today!

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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

A system with strong logistics is key to success in analytics and many other fields. This includes working on data quality testing and structuring data for easy access. The post Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms first appeared on DataKitchen. Click below to watch!

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What is CISSP - Certified Information Systems Security Professional

Knowledge Hut

CISSP stands for Certified Information Systems Security Professional, and it is a certification in cyber security. This professional certification is developed and offered by (ISC)2, also known as International Information Systems Security Certification Consortium. are interconnected and can be a part of your job description.

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Trustworthy AI, Powered by Trusted Data

Precisely

Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Your investments will only pay off if your AI systems are built on a foundation of trusted data. How do you begin to tackle these issues?

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How Snowflake Enhanced GTM Efficiency with Data Sharing and Outreach Customer Engagement Data

Snowflake

To improve go-to-market (GTM) efficiency, Snowflake created a bi-directional data share with Outreach that provides consistent access to the current version of all our customer engagement data. They always have access to the most current data, because Outreach’s updates are made and distributed automatically.

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Data Engineering Weekly #170

Data Engineering Weekly

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. Hallucinations and the system's lack of explainability are the primary reasons for mistrust in Gen AI.

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Know Before You Go: Precisely at Confluent’s Current 2023

Precisely

These environments are constantly changing and often do not integrate with legacy systems, like mainframe and IBM i. The volume and complexity of datasets are increasing at an unprecedented rate, and that data is flowing through increasingly complex applications and analytics ecosystems.

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