Time series from collection to analysis - examples and use cases
Time series is a fascinating subject that is becoming more and more interesting and relevant for all the DBAs and Data Architects. Once associated only to a small number of applications, time series-based projects are becoming a need in almost all the online services and applications. In this presentation we will explore some of the most relevant example of time series: systems logs and statistics, application click-streaming, sensors data generation, financial information, social data. Despite their different nature, all these workloads have in common a similar approach to data collection, data storage and analysis. We will cover: - Examples of time series workloads with specific use cases - Time series modelling optimized for collection, storage and analysis - Needs and best practises for alerting, real-time analysis, offline analysis and hybrids - MySQL implementation compared to other databases (Cassandra, Spark, Druid, InfluxDB): pros and cons, data integration and manipulation - Real-time, charting and offline analysis examples
EVP Products and Strategy, ScaleDB Inc.
Ivan is EVP of Strategy and Products at ScaleDB Inc. He has worked at Canonical, the company behind Ubuntu, and he has served as CTO at SkySQL/MariaDB for 4 years. Prior to that, Ivan worked at MySQL AB / Sun / Oracle for 6 years. An IT veteran with 30 years of experience, he has been founder and CTO of various companies, journalist and author of technical books and publications.