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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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New live online training courses

O'Reilly Media - Ideas

Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Reinforcement Learning: Building Recommender Systems , August 16. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , July 25. Blockchain.

Course 64
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Reinforcement Learning: Building Recommender Systems , August 16. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , July 25. Blockchain.

Course 49
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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. Certified Blockchain Solutions Architect (CBSA) Certification Crash Course , April 2. Data science and data tools. Data Structures in Java , April 1.

Course 10
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Technology Trends for 2024

O'Reilly Media - Ideas

And, of course, design patterns are used in legacy code—even code that was written before the term was coined! Attendees included small business owners, sales and marketing personnel, and C-suite executives, along with many programmers and engineers from different disciplines. SQL Server also showed a 5.3%

Trends 115
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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. This distinguishes Python from domain-specific languages like HTML and CSS limited to web design or SQL created for accessing data in relational database management systems.

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. The results for data-related topics are both predictable and—there’s no other way to put it—confusing. In aggregate, data engineering usage declined 8% in 2019. This follows a 3% drop in 2018.