Apache Ignite as a Hybrid Transactional-Analytical Processing Solution at a Large Investment Bank скачать в хорошем качестве

Apache Ignite as a Hybrid Transactional-Analytical Processing Solution at a Large Investment Bank

Speaker - Emmanuel Wiesenfeld, BNP Paribas CIB Lead Developer Slides: https://go.gridgain.com/rs/491-TWR-80... Today, at BNP Paribas, our Apache Ignite cluster is running successfully in production and is being used globally across all divisions of our corporate investment bank. Ignite uses 600 CPU cores and 9 TBs of RAM to handle a steadily increasing number of users, multiple complex hybrid transactional-analytical operations, and events that come from various data sources. In this session, we share our experience in designing, building, and optimizing a hybrid transactional-analytical processing (HTAP) solution that is powered by Ignite and that enables BNP Paribas to make key business decisions in real-time. We cover the following: The reasons that we chose Apache Ignite as a data analysis tool Best practices and tradeoffs for designing an HTAP solution that analyzes multidimensional historical and real-time datasets Tips and tricks for using Ignite compute, SQL, key-value, and streaming APIs to implement complex algorithms and operations, including trading strategies Optimization tactics for Ignite clusters with native persistence