Remove 2020 Remove Cloud Data Remove Data Lakes
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Connect natively to Dremio in Tableau Online to query your data lakes

Tableau

Our technology partner Dremio offers a next-generation data lake engine to securely query a customer’s cloud data lake storage directly. In 2020, they built a connector to their platform using our Connector SDK, which Tableau made available via our Extension Gallery. Now, with the Tableau 2021.2

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Connect natively to Dremio in Tableau Online to query your data lakes

Tableau

Our technology partner Dremio offers a next-generation data lake engine to securely query a customer’s cloud data lake storage directly. In 2020, they built a connector to their platform using our Connector SDK, which Tableau made available via our Extension Gallery. Now, with the Tableau 2021.2

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Big Data Analytics erreicht die nötige Reife Der Begriff Big Data war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet. 2 Denn heute spielt die Definition darüber, was Big Data eigentlich genau ist, wirklich keine Rolle mehr. Computerwoche , 1.

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2021 Crystal Ball: What’s in Store for AI, Machine Learning, and Data

Dataversity

As we bid 2020 a […]. The post 2021 Crystal Ball: What’s in Store for AI, Machine Learning, and Data appeared first on DATAVERSITY. From business processes and smart home technology to healthcare and life sciences, AI continues to evolve and grow as it plays an increasing role in many aspects of our work, home lives, and beyond.

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The First Pillar of Data Culture: Data Search & Discovery

Alation

According to IDC , more than 59 zettabytes (59,000,000,000,000,000,000,000 bytes) of data was created, captured, and consumed in the world in 2020. It’s almost quaint to think that 20 years ago, organizations generally didn’t have enough data to perform desired analyses.

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What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. What are the similarities and differences between data centers, data lake houses, and data lakes? Not a cloud computer?

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Snowflake Snowpark: cloud SQL and Python ML pipelines

Snorkel AI

And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And then the production teams might be leveraging a totally different single source of truth or data warehouse or data lake and totally different compute infrastructure for deploying models into production.

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