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Artem Chebotko

Artem Chebotko

DataStax, USA

Dr. Artem Chebotko is a Solutions Architect at DataStax. His core expertise is in data modeling, data management, data mining, and data analytics. For over 10 years, he has been leading and participating in research and development projects on NoSQL, Graph, XML, Relational, and Provenance databases. He is the inventor of the Big Data Modeling Methodology for Apache Cassandra and the author of over 50 research and technical papers published in international journals and conference proceedings. He is an educator with extensive experience in both industry and academic training. He received his Ph.D. in Computer Science from Wayne State University.

Speaker's activity
Big Data-Driven Applications with Cassandra and Spark
May 20th

Apache Cassandra and Apache Spark have proven to be a winning combination for building modern OLTP and OLAP applications that serve many millions of concurrent transactions and analyze petabyte-scale datasets. In this talk, we discuss requirements and challenges of big data-driven applications, how these requirements are supported by Cassandra and Spark, and what it takes to become proficient in these technologies. We then present the integrated architecture of Cassandra and Spark in more detail, introduce the Cassandra data model and query language, and focus on a selected subset of Spark Scala API. Finally, we demonstrate how to build your first functional recommendation system with Cassandra and Spark using less than 50 lines of code.