Webinar: Eventual Consistency != Hopeful Consistency | DataStax
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  • Title: Eventual Consistency != Hopeful Consistency
  • Date: April 24th, 2014
  • Time: 9am PT / 12pm ET / 17:00 GMT
  • Duration: One hour
  • Details: This session will address Cassandra's tunable consistency model and cover how developers and companies should adopt a more Optimistic Software Design model.
  • Speaker: Christos Kalantzis, Engineering Manager, Netflix

    Christos has 15+ years of Data experience. He started his career as an Operational DBA in MS SQL Server, DB2 and MySQL for companies such as Matrox, IBM, InterTrade and HighTail. He has helped design and scale applications for petabytes of data, as a Data Architect, for HighTail and Chegg. He has managed engineering teams at HighTail were he and his team created a Cloud Based File System. He is currently managing the Cloud Database Engineering Team at Netflix. His team is developing new data storage solutions for Netflix Engineers, patching and evolving Apache Cassandra, helping other engineering teams with NoSQL designs and operating thousands of Cassandra nodes across hundreds of Cassandra Clusters.