Big Data & Analytics
Quantitative analysis refers to the use of mathematical and statistical modeling, measurement, and research to understand and quantify market behaviors. […]
In today’s hyper-competitive business environment, data is at theheart of everything we do. Business leaders rely on up-to-date data tobetter
Five Considerations for building an Agile Data Pipeline In the Cloud Read More »
I recently had the opportunity to work with Incorta developing an architecture guide for their Unified Data Analytics Platform. The
Incorta Architecture Guide Read More »
Managing the trade-off between consistency and availability is nothing new in distributed databases. It’s such a well-known issue that there
Balancing Consistency, Availability, and Performance in Cassandra Read More »
In March I worked on this article with folks at Dremio, explaining the challenge of data copies in modern “data
The Unexpected Cost of Data Copies Read More »
I recently worked on a whitepaper for Dremio funded by Amazon Web Services around the topic of data analytics. You
Building a Modern Architecture for Interactive Analytics on Amazon S3 using Dremio Read More »
Note: this article was written for IBM for publication in InsideHPC before the widespread popularity of models like ChatGPT, Gemini,
Feature Article: Combatting Deepfakes – Inside the Next AI Battleground Read More »
Carrots and sticks: How new challenges are bringing fresh opportunities for HPC, data analytics, and AI This Cabot Partners article
The changing face of HPC in finance Read More »
Life sciences research is advancing at a rapid pace. New techniques such as next-generation sequencing (NGS) are playing a vital
Beyond Genomics – the role of a software-defined infrastructure in healthcare Read More »
IBM Infosphere BigInsights is now deprecated. This article describes an early integration for performing text analytics using data sourced from
Walking on Clouds – IBM and Twitter Read More »