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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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Porsche Carrera Cup Brasil gets real-time data boost

CIO

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. If I don’t do predictive maintenance, if I have to do corrective maintenance at events, a lot of money is wasted.”

Data 247
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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 66
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A brave new (generative) world – The future of generative software engineering

Capgemini

Not only will they respond to direct human instructions but in this new era, software products and platforms will evolve in real-time, driven by sophisticated analysis of user data, preferences, interactions and market insights. We look forward to working with you to help you build yours.

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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 50
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Technology Trends for 2024

O'Reilly Media - Ideas

While our analysis of search trends shows that interest in ChatGPT has peaked among our platform’s users, interest in natural language processing (NLP) showed a 195% increase—and from a much higher starting point. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6%

Trends 116
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Technology Trends for 2023

O'Reilly Media - Ideas

Leadership and management also showed very strong growth (38%). They also realize that management or team leadership may well be the next step in their career. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence.

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