Databricks SQL Year in Review (Part I): AI-optimized Performance and Serverless Compute
databricks
JANUARY 18, 2024
This is part 1 of a blog series where we look back at the major areas of progress for Databricks SQL in 2023.
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MLOps Landscape in 2023: Top Tools and Platforms
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As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. MLOps landscape One of the defining characteristics of the MLOps landscape in 2023 is the coexistence of both open-source and closed-source solutions.
Definite Guide to Building a Machine Learning Platform
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MARCH 21, 2023
Supporting the operations of data scientists and ML engineers requires you to reduce—or eliminate—the engineering overhead of building, deploying, and maintaining high-performance models. Moving across the typical machine learning lifecycle can be a nightmare. To do that, you’d need to take a systematic approach to MLOps —enter platforms!
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