Data Science UA 2018
March 17 2018, Киев, Украина
Data Science UA 2018
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Building Data Science Platform
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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

About talk

Topic: IT

We will discuss how building Data Science platform can help in Enterprise Digital Transformation, will cover several Hybrid Cloud Architectures, review approaches and challenges of deploying trained models to production environments. 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. The presentation has lots of demos and samples from real

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