Big Data. Small Laptop. (Part 3 of 3)
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...
Category: Expert Articles
Q&A with Data Engineers: Jamie O’Mahony
Jamie O’Mahony is a Senior Kx Solutions Architect who has built a number of complex enterprise database systems over the past four years in financial institutions around the world. Jamie is currently based in...
Machine Learning in Weather Forecasting
Authors list Rachel Prudden, Niall Robinson, Alberto Arribas , Charles Ewen Met Office Informatics Lab, UK In the 1950s, there was a revolution in weather forecasting. Advances in technology made it possible to simulate the atmosphere using...
Data Lakes Transformation – Leading with a business driven, technology led approach
BY Ritesh Ramesh, Data and Analytics Leader, Consumer Markets Industries, PricewaterhouseCoopers U.S. As more companies start to use data lakes, the right approach is essential or transformative insights sink like stones beneath the murk of a...
Integrating Non-Volatile Memory into an Existing, Enterprise-Class In-Memory DBMS
By Alexander Böhm. The emergence of non-volatile memory (NVM, also referred to as persistent memory) provides new challenges and opportunities for database management system architects and vendors, in particular in the context of in-memory...
Data Science and the Missing Link
Therefore dear readers, especially data science readers, just when you thought that you had built a good model that predicts consumer behaviour, think again. By Con Menictas Data science is quickly evolving into an...
Big Data. Small Laptop. (Part 2 of 3)
Developing useful predictive models in a resource constrained environment. (Part 2 of 3) Some data points are far far more valuable than others By Steven Finlay Not everyone can afford to invest in Big...
Big Data and The Great A.I. Awakening. What are the ethical and societal implications?
By Roberto V. Zicari, Frankfurt Big Data Lab, Goethe University Frankfurt I drafted a note (almost a fragment) derived from various interviews I conducted on the subject of ethical and societal implications of AI and Big...
IBM Ends Hadoop Distribution, Hortonworks Expands Hybrid Open Source
by Merv Adrian, Research VP, Gartner | June 21, 2017 IBM has followed Intel and EMC/Pivotal in abandoning efforts to make a business of Hadoop distributions, and followed Microsoft in making Hortonworks its supplying partner. At the former Hadoop Summit, now called...
TOWARDS DEMOCRATIC SUSTAINABILITY
by Dirk Helbing, ETH Zürich 1. City Olympics Proposition Competitions for the best kinds of technologies, solutions for resource shortages, and a quick implementation of new solutions can be achieved through Global City Olympics. Comments: Cities...