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SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science

KDnuggets

Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.

SQL 267
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Getting Started With Snowflake: Best Practices For Launching

phData

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. How is that funded after the project releases?

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Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning Blog

ML models make predictions given a set of input data known as features , and data scientists easily spend more than 60% of their time designing and building these features. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

ML 77
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. Below, you will find some key factors to consider when assessing MLOps tools and platforms, depending on your needs and preferences.