Remove 2018 Remove Artificial Intelligence Remove Cloud Remove Data Engineering
article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly

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 shift to cloud native design is transforming both software architecture and infrastructure and operations. Security is surging. to be wary of.

article thumbnail

5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole. Common in-memory data interfaces.

article thumbnail

The death of Agile?

O'Reilly

The most important is discovering how to work with data science and artificial intelligence projects. 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. Security is surging.