Remove Business Intelligence Remove Data Engineering Remove Trends
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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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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

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What does the new era of location intelligence hold for businesses?

TechCrunch

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty. Brands across industries are using cloud-native location data with other downstream cloud services.

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5 hot IT hiring trends — and 5 going cold

CIO

Here we look at five hiring trends for 2023, five that are falling out of favor, and how organizations are adjusting to new hiring realities this year. There is also a newfound trend in hiring product managers with a track record of turning innovation into revenue.” Careers, IT Skills, Staff Management.

Trends 197
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Technology Trends for 2025

O'Reilly Media - Ideas

Generative AI gets better and betterbut that trend may be at an end. We dont see a surge in repatriation, though there is a constant ebb and flow of data and applications to and from cloud providers. Specifically, theyre focused on being better communicators and leading engineering teams. Finally, some notes about methodology.

Trends 117
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What is data analytics? Analyzing and managing data for decisions

CIO

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems.

Analytics 203
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Transform launches with $24.5M in funding for a tool to query and build metrics out of data troves

TechCrunch

There, they could see firsthand both the promise that data held for helping make decisions around a product, or for measuring how something is used, or to plan future features, but also the demands of harnessing it to work, and getting everyone on the same page to do so. Transform is filling a critical gap within the industry.

Metrics 247