CIO
JANUARY 17, 2023
It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”
CIO
APRIL 1, 2025
Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand.
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TechCrunch
OCTOBER 14, 2020
Namely Databricks , a data analytics company that was most recently valued at around $6.2 billion in its October, 2019 Series F when it raised $400 million. Let’s say that a company has a lot of data on its machinery and wants to know when different pieces are going to fail. How do they find that information?
TechCrunch
JULY 12, 2022
But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. Tecton isn’t the only startup chasing after it.
Xebia
FEBRUARY 28, 2025
These days Data Science is not anymore a new domain by any means. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2].
O'Reilly Media - Ideas
FEBRUARY 18, 2020
Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning.
TechCrunch
OCTOBER 5, 2021
Launched in 2019, Byteboard’s idea was to create a tool that would make the technical interview experience less tedious and more effective. The team noted at the time that the current process for interviewing software engineers didn’t really work for measuring how well someone would do in a day-to-day engineering job.
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