It's time for another part of "What's new on the cloud for data engineers". Let's see what happened in the last 4 months.
It's time for another part of "What's new on the cloud for data engineers". Let's see what happened in the last 3 months.
Have you missed any cloud data engineering-related news in the last 3 months? No worries, I got you covered with the new part of the "What's new on the cloud for data engineers..." series.
It's the last update on the data engineering news on the cloud this year. There are a lot of things coming out. Especially for the streaming processing!
Four months in cloud history is a huge period of time. Even when 2 of the 4 months are the usual "holiday" months. As you can guess from the title, it's time to see what changed recently on the cloud from a data engineering perspective!
It's time for the first cloud news blog post this year. The update summary lists all changes of data or data-related services between January 1 and April 25.
It's time for the 5th part of the "What's new on the cloud for data engineers" series. This time I will cover the changes between September and December.
It's time for the 4th part of the "What's new on the cloud for data engineers" series. This time I will cover the changes between May and August.
It's time for the 3rd part of "What's new on the cloud for data engineers" series. This time I will cover the changes between February and April.
It's time for the second update with the news on cloud data services. This time too, a lot of things happened!
Cloud computing is present in my life for 4 years and I never found a good system to keep myself up to date. It's even more critical at this moment, when I'm trying to follow what happens on the 3 major providers (AWS, Azure, GCP). Since blogging helped me to achieve that for Apache Spark, and by the way learn from you, I'm gonna try the same solution for the cloud.
