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Giving more tools to software engineers: the reorganization of the factory

Erik Bernhardsson

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Because someone made the economic decision that the cost of building that software was too high. Supply-demand of software engineers.

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Remember when developers reigned supreme? The market for software coding goes soft

CIO

It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. In February, CEO Marc Benioff told CNBCs Squawk Box that 2025 will be the first year in the companys 25-year history that it will not add more software engineers.

Marketing 152
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Fishtown Analytics raises $29.5M Series B for its data engineering platform

TechCrunch

Fishtown Analytics , the Philadelphia-based company behind the dbt open-source data engineering tool, today announced that it has raised a $29.5 The company is building a platform that allows data analysts to more easily create and disseminate organizational knowledge. million Series A round in April.

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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Instead of hiring AI experts from the outside, it looked for existing software engineering staff who were interested in learning the new technology. Thomas, based in St.

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The future of data: A 5-pillar approach to modern data management

CIO

This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs. By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices.

Data 167
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Are you ready for MLOps? 🫵

Xebia

Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. Data Science profiles are more abundant in the market than ever before. Cloud providers have answered the market need for better tooling in the Machine Learning space.

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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.