This article lists a few resources regarding Data Mesh. I will admit that this is a biased list of resources. I tried to strictly follow the lineage initiated by Zhamak Dehghani.
With every concept comes new words: this post illustrates some of the neologism brought by the Data Mesh paradigm. Let’s explore them.
After a (too long) hiatus, DataFriday is back. The first episode of the new season was released last Friday, January 14, 2022. It focuses on defining Enterprise Architects and how they are perceived and what they really bring to the enterprise.
As AI ramifies in our society, as citizens, we need to demand explainability to guarantee trust.
Giving talks and writing about tech is something I am passionate about. Why learn something if it is to keep it for yourself? This article is meant for all the […]
On September 15th, 2021, after more than 18 months, I was finally able to give a talk in person. My conference schedule did not really go down during the pandemic, […]
Drsti (pronounced drishti) is an effortless data visualization that interfaces easily with Apache Spark
I have been a mentor and judge for Call for Code. However, this year, I have other projects limiting my time to contribute to this world-changing initiative. That’s why I […]
Apache Spark v3.0.0 has been released on June 18th, 2020, just before Spark + AI Summit 2020, which is being held virtually this year (like most big conferences). Spark v3 […]
In this fifth episode of DataFriday, I will dig into the schema linked to each dataframe in Apache Spark. I will rename columns, create columns, and analyze the result. I […]