O'Reilly Media - Data

APRIL 11, 2018

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.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

O'Reilly Media - Ideas

JANUARY 25, 2024

But it is correct to say that interest in type systems is growing among web developers. It’s also true that an increasing number of junior developers use JavaScript only through a framework like React or Vue. Artificial Intelligence In AI, there’s one story and only one story, and that’s the GPT family of models.

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. The laggard use case was Python-based web development frameworks, which grew by just 3% in usage, year over year. Figure 3 (above).

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

O'Reilly Media - Ideas

JANUARY 25, 2021

The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively. AI, Machine Learning, and Data. Artificial intelligence, machine learning, and data. Web Development. Web development.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145