Zurich: Oct 2019 - Anomaly Detection in Predictive Maintenance for SQL Server

This month, Janusz Rokicki will be presenting on using Anomaly Detection in SQL Server to do Predictive Maintenance.

Abstract:
The amount of data we collect, store and process is rapidly growing and goes hand in hand with the growing amount of work related to managing it.

Automation is key if we want to stay in control and AIOps represents the next major step with potential to revolutionise IT operations.

This session explains what predictive maintenance is, provides common use cases and gives practical examples that help to avoid costly SQL Server disruptions and eliminate firefighting.

Real-world examples will be presented on how to automate the identification of security threats, address limitations of the Query Store and improve monitoring of network latency as just a few examples.

Janusz Rokicki is Microsoft Data Platform Expert and certified Azure Solutions Architect with over 14 years experience working in the City of London in the Financial Services Industry (retail and investment banking, multi-asset class trading systems). He has passion for secure, high-performance, maintainable data-driven applications that can be deployed with confidence on-premises and in-cloud. With educational background in intelligent sensor networks and machine learning he is always in search of automation and optimisation opportunities.

Professional qualifications:
MCSE: Data Platform Expert
MCSD: Azure Solutions Architect
MCSE: Data Management and Analytics Expert
MCSE: Cloud Platform and Infrastructure Expert
Microsoft Professional Degree in Data Science

Registration is free, and the location and apero are kindly sponsored by Digicomp!