Remove 2014 Remove Azure Remove Big Data
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Azure Data Studio

Dataconomy

Azure Data Studio has rapidly gained popularity among developers and database administrators for its user-friendly design and powerful features. As a versatile tool, it simplifies the management of both SQL Server and Azure SQL databases, offering a modern alternative to traditional database management solutions.

Azure 91
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Top 6 Kubernetes use cases

IBM Journey to AI blog

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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Announcing ODSC West and APAC 2023

ODSC - Open Data Science

In 2014 she was named the world’s first Chief AI Ethics officer. Mario Inchiosa, PhD Principal Data Scientist Manager | Microsoft Dr. Inchiosa’s current work focuses on AI-led co-innovation engagements. His past roles have included work in analytics, big data, R, SQL, data mining, and more.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Data Lakes Data lakes are centralized repositories designed to store vast amounts of raw, unstructured, and structured data in their native format. They enable flexible data storage and retrieval for diverse use cases, making them highly scalable for big data applications. Our model achieves 28.4

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Espresso AI: Q&A mit Mathias Golombek, CTO bei Exasol

Data Science Blog

Es unterstützt jede beliebige Data-Science-Sprache und bietet eine umfangreiche Liste von Technologie-Integrationen, darunter PyTorch, Hugging Face, scikit-learn, TensorFlow, Ibis, Amazon Sagemaker, Azure ML oder Jupyter. Über Exasol-CEO Martin Golombek Mathias Golombek ist seit Januar 2014 Mitglied des Vorstands der Exasol AG.