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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. This follows a 3% drop in 2018.

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

Abhishek Tiwari

In 2018, we will see new data integration patterns those rely either on a shared high-performance distributed storage interface ( Alluxio ) or a common data format ( Apache Arrow ) sitting between compute and storage. These learned indexes can immediately replace index structures currently used by data warehouses.

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The death of Agile?

O'Reilly

The most important is discovering how to work with data science and artificial intelligence projects. This has to do with the concept of bounded context from Domain Driven Design.). Radar data points: Recent research and analysis. Key survey results: The C-suite is engaged with data quality. Mike Loukides.