Data Engineering Fashion Google Cloud Technical Review 
Hu's Place - HitachiVantara
NOVEMBER 11, 2018
Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.
Xebia
FEBRUARY 25, 2024
The first part will be about the what and why of MLOps and the second part about technical aspects of MLOps. This post is based on a tutorial given at EuroPython 2023 in Prague: How to MLOps: Experiment tracking & deployment and a Code Breakfast given at Xebia Data together with Jeroen Overschie. Code is made available here.
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O'Reilly Media - Ideas
MARCH 1, 2023
Our data shows us what O’Reilly’s 2.8 That’s a better measure of technology trends than anything that happens among the Twitterati. Companies are still “moving into the cloud”—that trend hasn’t changed—but as some move forward, others are pulling back (“repatriation”) or postponing projects. What’s real, and what isn’t?
O'Reilly Media - Ideas
JANUARY 25, 2022
Last year we cautioned against a “horse race” view of technology. While new technologies may appear on the scene suddenly, the long, slow process of making things that work rarely attracts as much attention. Important signals often appear in technologies that have been fairly stable. This report is about those transitions.
Altexsoft
MARCH 30, 2023
But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.
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