Article Data Engineering Survey Weak Development Team 
TechCrunch
OCTOBER 7, 2021
“Most of the technical content published misses the mark with developers. I think we can all do a better job,” author and developer marketing expert Adam DuVander says. DuVander was recommended to us by Karl Hughes, the CEO of Draft.dev, which specializes in content production for developer-focused companies.
CIO
FEBRUARY 14, 2023
Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. report they have established a data culture 26.5%
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Capgemini
JANUARY 17, 2023
Following a volatile year in the market, you can get ahead of your 2023 plans and see where your organization can improve processes, bring on new tools, and set goals that make sense for your team. Here are four resolutions to make your data strategy pay off this year. Reassess your data architecture.
O'Reilly Media - Ideas
JULY 28, 2020
Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? The Core Responsibilities of the AI Product Manager.
Altexsoft
FEBRUARY 11, 2023
Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?
Altexsoft
APRIL 13, 2023
Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. To store all this diverse information, you’ll have to utilize a centralized data repository such as a data warehouse or data lake.
Altexsoft
JULY 23, 2020
The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. This article. MLOps lies at the confluence of ML, data engineering, and DevOps. More time for development of new models. Data validation.
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