ODBMS.org Interview with Kx Data Engineer Jamie O’Mahony

8 Aug 2017 | , , , ,

Kx engineer Jamie O'Mahony was recently interviewed by Roberto Zicari of ODBMS.org about design considerations in large-scale database applications. The questions discussed include: "What are the typical mistakes made on large scale data projects? In your opinion, how can they be avoided in practice?;" "How do you ensure data quality?" and "What are the typical mistakes made on large scale data projects? In your opinion, how can they be avoided in practice?"

Dave Thomas on Fast Big Data for Financial Oversight

23 Nov 2016 | ,

Dave Thomas, Chief Scientist at Kx Labs, gave an informative talk on processing Fast Big Data at the YOW! developers' conference in Sydney, Australia in September 2016. The video of his talk has just been posted, and it is a great way to get an overview of the advantages of a simplified technology stack with kdb+ for large-scale data analytics. In a wide-ranging discussion, Dave outlined the enormous challenges facing data scientists in processing the massive volumes of data required to detect financial fraud, identity theft and an increasing range of cyber threats.

Real-time Insights and Decision Making with Fast, Big Data

9 Nov 2016 | , ,

Businesses are processing exponentially more data from clicks, swipes, micropayments, cyber packets, social feeds and meter readings today. The financial services industry has been doing this on a large scale for the past two decades. FIS has coped with steadily increasing data volumes by using a simple scalable data architecture composed of a real-time database (RDB) and a historical database (HDB)