Operational Database Management Systems
By Shomit Ghose, Onset Ventures – August 2017 “The best minds of my generation are thinking about how to make people click ads. That sucks.” — Jeffrey Hammerbacher, Facebook Hammerbacher’s Lament Are we fated to...
By Andrea Powell, Chief Information Officer, CABI, UK A report published in June 2017 by Ithaka S+R called “Supporting the Changing Research Practices of Agricultural Scholars “ made for very interesting reading here at CABI. After...
Developing useful predictive models in a resource constrained environment. (Part 3 of 3) By Steven Finlay Doing big data analytics when resources are limited can be challenging. Maybe all you have is an old...
From Classical Analytics to Big Data Analytics by Peter Weidl, IT-Architect, Zürcher Kantonalbank The longer you live in the past, the less future you have to enjoy. This sentence summarizes the current dilemma of...
A Cheat Sheet: What Executives Want to Know about Big Data by Tamara Dull, Director of Emerging Technologies for SAS Best Practices This spring, I presented An Executive’s Cheat Sheet on Hadoop, the Enterprise Data...
Heuristics and Randomness in Analytics BY Carlos Andre Reis Pinheiro, Data Scientist at EMC2, Brazil, visiting professor at KU Leuven, Belgium, and lecturer and researcher at Getulio Vargas Foundation (FGV), Brazil. Analytics can be...
Nitesh Ambastha is Global Head of Data IT for Credit Suisse Private Banking and Wealth Management Products. He is driving the strategy and implementation for a major change initiative within the PBWM division to...
Ashish Gupta is a Distinguished Software Engineer at Google. Ashish works in the Ads Backend Infrastructure group, where he works on numerous very large scale distributed system problems, including continuous event processing, peta-byte scale...
Kapil Surlaker leads the Data Analytics Infrastructure team at LinkedIn, where he’s responsible for core analytics infrastructure platforms including Hadoop, Spark, other computation frameworks such as Cubert and Pinot, an OLAP serving store. Previously,...
By Peretz Shoval February 2012: In the analysis phase of the information system development (ISD), the users’ requirements are studied and defined. In most ISD methodologies, the requirements are defined by two models: a...