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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. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. Key elements of this foundation are data strategy, data governance, and data engineering. Consider the iceberg analogy.

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

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10 highest-paying IT jobs

CIO

But despite the bumpy year, demand for technology skills remains strong, with the US tech unemployment rate dropping to 1.5% For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. as of January.

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Top 8 IT certifications in demand today

CIO

It was established in 1978 and certifies your ability to report on compliance procedures, how well you can assess vulnerabilities, and your knowledge of every stage in the auditing process. The CompTIA A+ 220-1001 exam covers mobile devices, networking technology, hardware, virtualization and cloud computing, and network troubleshooting.

SCRUM 344
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts.

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Should you build or buy generative AI?

CIO

CIOs want to take advantage of this but on their terms—and their own data. As so often happens with new technologies, the question is whether to build or buy. To get good output, you need to create a data environment that can be consumed by the model,” he says.