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Facing the Challenges of Real-Time Analytics
In December 2017, Prof Zicari had the pleasure of interviewing David Flower, President and Chief Executive Officer of VoltDB. They discussed his strategy for VoltDB, and the main data challenges enterprises face nowadays in performing real-time analytics.
“We are now seeing a number of our customers in financial services adopt a real-time approach to detecting and preventing fraudulent credit card transactions. With the use of ML integrating into the real-time rules engine within VoltDB, the transaction can be monitored, validated and either rejected or passed, before being completed, saving time and money for both the financial institution and the consumer.” – David Flower
Access the full text interview to read more!
Prof. Roberto V. Zicari is editor of ODBMS.ORG (www.odbms.org)
ODBMS.ORG is designed to meet the fast-growing need for resources focusing on Big Data, Data Science, Analytical Data Platforms, Scalable Cloud platforms, NewSQL databases, NoSQL datastores, In-Memory Databases, and new approaches to concurrency control. The portal was created to serve software developers in the open source community or at commercial companies as well as faculty and students at educational and research institutions.
Roberto is Full Professor of Database and Information Systems at Frankfurt University. He was for over 15 years the representative of the OMG in Europe. Previously, Roberto served as associate professor at Politecnico di Milano, Italy; Visiting scientist at IBM Almaden Research Center, USA, the University of California at Berkeley, USA; Visiting professor at EPFL in Lausanne, Switzerland, the National University of Mexico City, Mexico and the Copenhagen Business School, Danemark.
Computing functionality is ubiquitous. Today this logic is built into almost any machine you can think of, from home electronics and appliances to motor vehicles, and it governs the infrastructures we depend on daily — telecommunication, public utilities, transportation. Maintaining it all and driving it forward are professionals and researchers in computer science, across disciplines including:
- Computer Architecture and Computer Organization and Design
- Data Management, Big Data, Data Warehousing, Data Mining, and Business Intelligence (BI)
- Human Computer Interaction (HCI), User Experience (UX), User Interface (UI), Interaction Design and Usability
- Artificial intelligence (AI)