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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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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO

Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). Close behind and rising fast, though, were security auditing and bioinformatics, offering a pay premium of 19%, up 18.8% since March.

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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. The labels enable the systems to extrapolate the relationships between the examples (e.g., Heartex’s dashboard.

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New live online training courses

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Hands-on Machine Learning with Python: Clustering, Dimension Reduction, and Time Series Analysis , July 18. Data science and data tools.

Course 65
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Hands-on Machine Learning with Python: Clustering, Dimension Reduction, and Time Series Analysis , July 18. Data science and data tools.

Course 49
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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

Altexsoft

Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Sentiment analysis. Sentiment analysis results by Google Cloud Natural Language API. Low-level vs high-level NLP tasks. Text classification. Spam detection.

Tools 139
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.