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Vladimir Ozerov

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titleconferencedate
How Apache Iceberg Really WorksHighLoad++ 20242024-12-02
Explains Apache Iceberg’s architecture and implementation details as a table format for lakehouse platforms, covering how Iceberg organizes data and metadata…
Talk in Russian on
Fast data processing in a data lake with SQLHighLoad++ 20232023-11-27
Describes using distributed SQL engines—Trino, Presto and Dremio—to run SQL queries directly over files in a data lake, reducing ETL and enabling more…
Talk in Russian on
Hydra's Heads – Vladimir OzerovHydra 20222022-06-02
Company builds custom query engines and optimizers for distributed databases, reusing components like Apache Calcite and Flink but adapting rules, operators…
Talk on
Roundtable: Cloud Databases as a ServiceHydra 20222022-06-02
Roundtable reports concrete choices and outcomes: reusing Cassandra and RocksDB components accelerates product cycles, a private cloud runs roughly 5,000…
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Apache Calcite: A Platform for Building Advanced SQL Optimizers on JavaJoker 20212021-10-25
Apache Calcite is presented as a Java platform for building advanced cost-based SQL optimizers from reusable components so teams avoid implementing optimizers…
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Architecture and Implementation of Relational Operators in Distributed SQL EnginesBig Data Days 20212021-09-28
Covers architecture and implementation of relational operators (like joins, aggregations, filters) inside distributed SQL engines, focusing on how these…
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Building modern SQL query optimizers with Apache CalciteApacheCon@Home 20212021-09-21
Apache Calcite provides a Java planner that implements cost-based and heuristic drivers plus a flexible rule engine that performs bottom-up and top-down…
Talk on
How We Built SQL in HazelcastJoker 20202020-11-25
Description of how Vladimir and his team built Hazelcast Mustang, a new distributed SQL engine added to Hazelcast IMDG. Covers concrete technical decisions…
Talk in Russian on
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