Operational Database Management Systems
Q1. Uber AI has developed a tool (1) that uses machine learning and natural language processing (NLP) techniques to help agents deliver better customer support. What was the main motivation for this project? The...
Q1. Some in the Node.js development community might have been surprised by the announcement of the release of MariaDB Connector/Node.js. People have been connecting Node.js to MariaDB for years –why is this an important...
Q1. Why graphs are so important? Daniel Howard: Organisations increasingly want to run heavily relationship-oriented queries on (very) large datasets. Graphs are very, very good at modelling relationships, and can dramatically increase the speed...
Q1. What does it mean to improve software quality? Alexander Boehm: Ultimately, the goal of any software company is to deliver software with the highest possible value to their customers. Looking at system software, such as database management...
By Partha Deka, and Rohit Mittal, —Intel Corp Industrial Maintenance: Today’s trend of Artificial Intelligence (AI) and the increased level of Automation in manufacturing allow firms to flexibly connect assets and improve productivity through...
This is a copy of my talk at UCBerkeley, October 16, 2018. You can download the .PDF here: Zicari.UCBerkeley.2018
Q1. What is a “Data Vault”? Neil: Data vaults are designed to provide long-term storage of data from all sorts of different operational systems. Data vaults use a different modeling approach than traditional data...
BY Roberto V. Zicari Frankfurt Big Data Lab Goethe University Frankfurt September 15, 2018 Big Data and Transportation Big Data opens up new opportunities to define “Intelligent” mobility and transportation solutions. The transportation industry...
What are the main current initiatives at the Future of Privacy Forum? Future of Privacy Forum is a nonprofit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support...
Q1. What are the technical challenges in building and deploying streaming analytics applications? Building and deploying streaming analytics application has its own set of challenges. Some of the key ones include: 1. Choosing from...