Lacework

NOVEMBER 1, 2023

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. This local parsing involves identifying and either removing or masking any user identifiable information.

System Design 52

System Design Systems Review System Data 52

Mobilunity

MAY 3, 2024

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.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

O'Reilly Media - Ideas

FEBRUARY 11, 2019

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. Many universities are offering courses; some like UC Berkeley have multiple courses.

Big Data 85

Big Data Technology Tools Cloud 85

O'Reilly Media - Ideas

JULY 28, 2020

For example, many companies use recommendation engines to boost sales. But if your product is highly specialized, customers may come to you knowing what they want, and a recommendation engine just gets in the way. For example, for a mobile phone app that uses object detection to identify pets, speed is a requirement.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

O'Reilly Media - Ideas

JUNE 4, 2019

Pythonic design patterns , June 27. Learning Python 3 by Example , July 1. Practical Linux Command Line for Data Engineers and Analysts , July 22. Domain-driven design and event-driven microservices , July 23-24. Software Architecture by Example , July 24. AWS Design Fundamentals , August 15-16.

Course 64

Course Training Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JUNE 5, 2019

Pythonic design patterns , June 27. Learning Python 3 by Example , July 1. Practical Linux Command Line for Data Engineers and Analysts , July 22. Domain-driven design and event-driven microservices , July 23-24. Software Architecture by Example , July 24. AWS Design Fundamentals , August 15-16.

Course 49

Course Training Artificial Inteligence Software Review 49

O'Reilly Media - Ideas

MAY 1, 2019

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. Data Visualization with Matplotlib and Seaborn , June 4. Systems engineering and operations.

Course 45

Course Training Artificial Inteligence Machine Learning 45