Fast Data Platform for Real-Time Analytics. Architecture And Approaches.
Видео доклада
Презентация доклада
We will start from understanding how Real-Time Analytics can be implemented on Enterprise Level Infrastructure and will go to details and discover how different cases of business intelligence be used in real-time on streaming data. We will cover different Stream Data Processing Architectures and discus their benefits and disadvantages. I'll show with live demos how to build Fast Data Platform in Azure Cloud using open source projects: Apache Kafka, Apache Cassandra, Mesos. Also I'll show examples and code from real projects.
Виталий Бондаренко
Eleks
Databases
- Big Data architect and responsible for development of Enterprise Platform Suite at Eleks
- Last 20 years he's been programming and designing data centric systems like Data Warehouses and Big Data Clusters
- Has huge experience in Data Modeling, Performance Optimization and Infrastructure Design