For years, data teams worked with simple data pipelines. These generally consisted of a few applications or data feeds that converged into a standard extract, transform, and load (ETL) tool that fed data into a centralized data warehouse. From that warehouse, data was sent to a set number of places, like a reporting tool or spreadsheets. As a result, data protection was relatively straightforward. There simply was not as much data to protect, and the locations of the data …
all AI news
How to have encryption, computation, and compliance all at once
Oct. 24, 2023, 9 a.m. | Laura Case
InfoWorld Analytics www.infoworld.com
analytics applications centralized data cloud security compliance computation data data governance data pipelines data teams data warehouse encryption etl extract fed pipelines security set simple standard teams tool warehouse
More from www.infoworld.com / InfoWorld Analytics
How generative AI is redefining data analytics
5 days, 6 hours ago |
www.infoworld.com
7 innovative ways to use low-code tools and platforms
2 weeks, 6 days ago |
www.infoworld.com
Steampipe dashboards and benchmarks for your data
1 month, 2 weeks ago |
www.infoworld.com
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York