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The 10 most in-demand IT jobs in finance

CIO

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. DevOps engineer. Data engineer.

article thumbnail

The 10 most in-demand IT jobs in finance

CIO

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. DevOps engineer. Data engineer.

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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. Data science and data tools.

Course 47
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The State of Tech: 4 Trends to Watch in 2022

Mentormate

Sure, you might get lucky and find the right person with the right skills in the right geography, but it’s not realistic to scale up and retain a larger engineering organization that way. People need onboarding and training. That lack of support leaves the citizen report builders and data scientists with no way to act on that data.

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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

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What is DataOps? Collaborative, cross-functional analytics

CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325
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Machine Learning Pipeline: Architecture of ML Platform in Production

Altexsoft

Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements. Reasonably, with the access to data, anyone with a computer can train a machine learning model today.