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Build Maintainable And Testable Data Applications With Dagster

Data Engineering Podcast

In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Building 100
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Fast Analytics On Semi-Structured And Structured Data In The Cloud

Data Engineering Podcast

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

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Automating Your Production Dataflows On Spark

Data Engineering Podcast

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

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Keeping Your Data Warehouse In Order With DataForm

Data Engineering Podcast

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

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Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

Linear regression, classification, and ranking are also machine learning tasks and are common in operating real-world data. Programming. Data scientists use different programming tools to extract data, build models, and create visualizations. An overview of data engineer skills. Programming.

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Scaling Data Trust: How AutoTrader UK Migrated to a Decentralized Data Platform with Monte Carlo

Monte Carlo

“We want to empower Auto Trader and its customers to make data-informed decisions,” said Edward, “and democratize access to data through a self-serve platform.” Today, Edward and his team have a robust data stack. The schema checks, the volume checks, the freshness checks that Monte Carlo offers delivers on that.”

Data 40