Enterprise Platform Architect, Big Data Architect
I’ve been designing data-centric systems for last 20 years and have gained huge experience in developing and performance tuning of OLTP, DW and BI applications. Last 3 year I’m focused on Data Analytics in Big Data Clusters and implementing different innovative approaches for Fast Data Processing. At the moment my responsibility is to develop competencies for Enterprise level Data Platform at Eleks company.
Topic of presentation: Building Data Science Platform As A Part Of Enterprise BI Solution (*workshop: 2 h)
The main points of the presentation: We will start with reviewing typical Enterprise Infrastructure and components of Data Science Platform. Will focus on several common problems like Anomaly Detection and Classification using different approaches, such as CNN, K-means and others. I'll show how to train models with getting data from different data sources: Kafka, Cassandra, OLAP Cubes, Elasticsearch, Data Warehouses, Hadoop and deploy trained models to Enterprise Infrastructure Components like ESB, Message Buses and ETL. We will review solution for building scalable clusters on-premises and on Cloud and will scale our trained models on Kubernetes Cluster.