Remove Big Data Remove Data Engineering Remove System Design
article thumbnail

Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 108
article thumbnail

How to Screen and Interview Fintech Data Engineer

Mobilunity

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

article thumbnail

New live online training courses

O'Reilly Media - Ideas

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 94
article thumbnail

219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 71
article thumbnail

160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30.

Course 63
article thumbnail

AI Engineer Vs. ML Engineer: Differentiating Between Roles

Mobilunity

Computer Science/Software Engineering (Bachelors) are good starters for an AI engineer, giving them core skills for creating highly intelligent solutions including programming, algorithms, data structures, databases, system design, operating systems, and software development.