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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. Stellar Stellar is designed to make generative AI easy for Snowflake customers.

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Pandas 2.0: A Game-Changer for Data Scientists?

Towards Data Science

Although I wasn’t aware of all the hype, the Data-Centric AI Community promptly came to the rescue: The 2.0 Performance, Speed, and Memory-Efficiency As we all know, pandas was built using numpy, which was not intentionally designed as a backend for dataframe libraries. Yep, pandas 2.0 is out and came with guns blazing ! But what else?

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CircleCI’s unnoticed holiday security breach

The Pragmatic Engineer

The first response has been frustration because of the chaos a breach like this causes: At a scaleup I talked with, infrastructure teams shut down all pipelines in order to replace secrets. Our customers are some of the most innovative, engineering-centric businesses on the planet, and helping them do great work will continue to be our focus.”

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What Is A DataOps Engineer? Skills, Salary, & How to Become One

Monte Carlo

In a nutshell, DataOps engineers are responsible not only for designing and building data pipelines, but iterating on them via automation and collaboration as well. While a DataOps engineer is primarily focused on ensuring pipelines run smoothly, data engineers are more focused on designing and implementing those pipelines themselves.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

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DevOps Architecture: Principles, Best Practices, Tools, Features

Knowledge Hut

The main task of the development team is to develop code for application software. They also must check and ensure that the code runs smoothly without hindrance. Subsequently, the code is sent to the operations team for further trials. The operations team inspects the performance of the code and reports bugs if required.

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Streaming SQL in Data Mesh

Netflix Tech

When a user wants to leverage Data Mesh to move and transform data, they start by creating a new Data Mesh pipeline. The pipeline is composed of individual “Processors” that are connected by Kafka topics. However, this design decision led to a different set of challenges. Overview of the SQL Processor workflow.

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