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Analytics operating system Redbird makes data more accessible to non-technical users

TechCrunch

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. ” Tracking venture capital data to pinpoint the next US startup hot spots.

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

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Google quietly acquires Dataform, the UK startup helping businesses manage data warehouses

TechCrunch

that was building what it dubbed an “operating system” for data warehouses, has been quietly acquired by Google’s Google Cloud division. Dataform scores $2M to build an ‘operating system’ for data warehouses. Dataform, a startup in the U.K.

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Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

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IT leaders get creative to fill data science gaps

CIO

That is backed up by a 2021 survey by industry analysts at Forrester, which showed that, of 2,329 data and analytics decision-makers worldwide, 55% want to hire data scientists. This has left data scientists not only bored but also frustrated that they weren’t focusing on the core work they have been trained to do.

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Matillion raises $150M at a $1.5B valuation for its low-code approach to integrating disparate data sources

TechCrunch

The difference with Matillion, Scullion said, is that it has a democratized platform, so that organizations don’t have to rely on data scientists to get involved in order to use it, by building a low-code interface around it. “We have made it accessible, intuitive and easy to use by bringing in a low-code approach,” he said.