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

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. A mart is a group of aggregated tables (e.g.,

System Design 52

System Design Systems Review System Data 52

O'Reilly Media - Ideas

JUNE 4, 2019

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 68

Course Training Artificial Inteligence Software Review 68

Altexsoft

AUGUST 21, 2019

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.

Development 44

Development Software Engineering Data Engineering Architecture 44

O'Reilly Media - Ideas

JUNE 5, 2019

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 51

Course Training Artificial Inteligence Software Review 51

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Temporal data and time-series analytics. Text and Language processing and analysis. Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. When it come to ethics, it’s fair to say the data community (and the broader technology community) is very engaged.

Big Data 87

Big Data Technology Tools Cloud 87

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. SQL Fundamentals for Data , June 12-13.

Course 47

Course Training Artificial Inteligence Machine Learning 47