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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. A key misunderstanding is the strengths and weaknesses of each position. Overlapping skills.

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Differentiating people, process, and technology problems: A guide for CISOs

CIO

Is it inefficient processes that hamper communication within security teams? It becomes easier, however, when security leaders have a consistent framework in place for assessing the effectiveness of their people, processes, and technology – which is why I recently developed such a framework for IDC.

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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning - AI

Security teams in highly regulated industries like financial services often employ Privileged Access Management (PAM) systems to secure, manage, and monitor the use of privileged access across their critical IT infrastructure. Using this capability, security teams can process all the video recordings into transcripts.

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Embrace grabs a new funding round amid unveiling of new mobile data intelligence software

TechCrunch

Many companies collect data from all of their users, but they don’t know what is good or bad data until it is collected and analyzed. Now in this increasingly mobile-first world, we use our phones for everything from apps to ordering to food to connecting with our cars. Image Credits: Embrace.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

It enables DevOps and site reliability engineer (SRE) teams to automate deployments, updates, and rollbacks. Strong support from both independent developers and big players (like CNCF, Google, Amazon, Microsoft, and others) means that the platform gets constant improvements and the technology won’t become outdated any time soon.

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DevOps didn’t exist when I started as a developer: How this one principle changed my career

CircleCI

Most software development and operations (SRE or System Administration) teams developed, tested, and released applications and managed infrastructures manually and, more importantly, in isolation. My software development experience went a little something like this: Write code in isolation. Manually compile.

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The Good and the Bad of Python Programming Language

Altexsoft

web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. Source: Python Developers Survey 2020 Results. Python uses dynamic typing, which means developers don’t have to declare a variable’s type. many others. How Python is used.