Remove 2017 Remove Data Engineering Remove Data Lakes
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. It can also be integrated into major data platforms like Snowflake.

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3 Major Trends at Strata New York 2017

DataRobot Blog

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. 2) When data becomes information, many (incremental) use cases surface.

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Munich Re Launches Enterprise-Wide Data-Driven Platform for Analytics

Alation

Andreas Kohlmaier, Head of Data Engineering at Munich Re 1. --> Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Andreas Kohlmaier, Head of Data Engineering at Munich Re. But it is a little hard to consume.

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What Is Alation Connected Sheets? Q&A with the Creators

Alation

We wanted to make it easy for anyone to pull data and self service without the technical know-how of the underlying database or data lake. So in 2017, we created Kloudio to solve this ubiquitous problem and support this nontechnical user: product managers, financial analysts, marketing ops teams, sales ops teams, etc.

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What Does GPT-3 Mean For the Future of MLOps? With David Hershey

The MLOps Blog

It’s built on top of the transformer architecture that was released by Google in 2017, but GPT-3 and ChatGPT are sort of proprietary incarnations of that from OpenAI. They’re called large language models because, in the last six or so years, what we’ve been doing largely is giving more data and making the models bigger.

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme.

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