Why would I care about AI being ethical?

As AI ramifies in our society, as citizens, we need to demand explainability to guarantee trust.

Data SLA

In this article, I am trying to join data quality and service-level indicators in the context of data management. Since I wrote my article about the CACTAR acronym for Data […]

Five essential & free resources for learning Data Science

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 […]

It’s painful how much data rules the world

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, […]

Bringing vision to Apache Spark

Drsti (pronounced drishti) is an effortless data visualization that interfaces easily with Apache Spark

Do your best work ever for Call for Code

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 […]

Awaited Apache Spark v3.0.0 is finally released

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 […]

DataFriday: manipulating the schemas of Spark dataframes

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 […]

DataFriday: extracting metadata from photos

Following episode 3, where I talked about metadata in relational databases, this week, I am talking about metadata as found in digital photography (and specifically EXIF). Wikipedia defines EXIF as […]

DataFriday: what is Metadata?

In this episode, I will explain what is metadata, at least, some metadata, more specifically metadata on relational databases. It’s a quick introduction. I will also run a small Java […]