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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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Why thinking like a tech company is essential for your business’s survival

CIO

To thrive in todays business environment, companies must align their technological and cultural foundations with their ultimate goals. The phrase every company is a tech company gets thrown around a lot, but what does that actually mean? To us, its not just about using technology its about thinking like a tech company.

Company 186
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Datafold raises seed from NEA to keep improving the lives of data engineers

TechCrunch

Data engineering is one of these new disciplines that has gone from buzzword to mission critical in just a few years. As data has exploded, so has their challenge of doing this key work, which is why a new set of tools has arrived to make data engineering easier, faster and better than ever.

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

CIO

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. However, from a companys existential perspective, theres an even more fitting analogy. A similar transformation has occurred with data. The choice of vendors should align with the broader cloud or on-premises strategy.

Data 167
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Prophecy raises $25M for its low-code data engineering platform

TechCrunch

Prophecy , a low-code platform for data engineering, today announced that it has raised a $25 million Series A round led by Insight Partners. Existing investors SignalFire and Berkeley Skydeck, as well as new investor Dig Ventures, also participated in this round, which brings the company’s total funding to $31 million.

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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.