4 posts tagged with "Data Intellect"

The past two weeks have been exciting. To mark DefconQ’s two-year anniversary, I hosted not just one, but two Happy Hours, one in Belfast and another in New York. Adding to the excitement, I joined a panel at one of the most prominent conferences in quant finance, right in the heart of New York. Since I was already there, I also spent some time working from my client’s office, a leading hedge fund on Wall Street. If you couldn’t make it to any of these events, no worries, this blog post recaps all the highlights.

As someone truly passionate about finance, Wall Street has always felt like the center of the universe, so I was beyond thrilled to receive an invitation to attend the Cornell Financial Engineering Manhattan 2025 Future of Finance & Ai Conference, hosted by Alexander Fleiss, founder of Rebellion Research.

And of course, no trip to New York would be complete without a DefconQ KDB/Q Community Happy Hour, this time proudly sponsored by Data Intellect, the leading consultancy for all things KDB/Q.

Mid January, I stumbled upon a KDB/Q meetup hosted by Habla Computing in Madrid, boasting an interesting lineup of talks and speakers. Spontaneously, I opted to seize the opportunity and booked a trip to the sunny capital of Spain to attend the event. Following the meetup, during the networking session, I had the pleasure of meeting Juan, a founding partner of Habla Computing, and Jesus, the VP of Research at Habla Computing, who warmly welcomed me into the small, but growing, Spanish KDB/Q community. Engaged in a stimulating conversation about our mutual enthusiasm for KDB/Q, Juan and Jesus extended a kind invitation for me to speak at their upcoming conference, an offer I eagerly embraced. Not only did I feel honoured to have the opportunity to share my expertise on KDB/Q, but I also take every chance to escape the rainy weather of the UK and spend some time in Spain.

In this blog post, I'll be sharing my favourite KDB/Q learning resources. These are the go-to references that most experienced KDB/Q developers will have encountered, offering an excellent starting point for anyone looking to dive into the world of KDB/Q.