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Testing and Monitoring Data Pipelines: Part Two

Dataversity

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

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Our Journey with Apache Arrow (Part 2): Adaptive Schemas and Sorting

Hacker News

In the previous article, we discussed our use of Apache Arrow within the context of the OpenTelemetry project. We investigated various techniques to maximize the efficiency of Apache Arrow, aiming to find the optimal balance between data compression ratio and queryability. to 5x better than the original OTLP protocol.

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Getting Started with AI in High-Risk Industries, How to Become a Data Engineer, and Query-Driven…

ODSC - Open Data Science

Getting Started with AI in High-Risk Industries, How to Become a Data Engineer, and Query-Driven Data Modeling How To Get Started With Building AI in High-Risk Industries This guide will get you started building AI in your organization with ease, axing unnecessary jargon and fluff, so you can start today.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

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. Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you render audio/video?