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Russell Alexander Spitzer

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titleconferencedate
An Extremely Technical Overview of How Apache Iceberg Planning Actually WorksFuture Data Systems Seminar Series (Fall 2025)2025-09-22
Detailed walkthrough of the Java implementation of Apache Iceberg planning shows how Spark SQL push predicates convert to iceberg expressions, how…
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Multi Dimensional Clustering with Z OrderingScale By the Bay 20212021-10-28
Shows that multi-dimensional file skipping is practical by computing a per-row Z-Ordering value (by interleaving bits of lexicographically encoded columns) and…
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Scale By the Bay 2021 intro video by Russell SpitzerScale By the Bay 20212021-10-28
Explains an implementation of z-ordering inside Apache Iceberg that clusters files with a Z-order curve so multi-dimensional filters avoid full table scans…
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To Spark or Not to SparkScale By The Bay 20192019-11-13
If you need joins, cross-source aggregation or a JDBC endpoint over Cassandra, Spark plus the Cassandra connector gives that: use spark thrift server for a…
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InterviewScale By The Bay 20192019-11-13
Explains tradeoffs of adding Spark when Cassandra already exists, claims Spark gives analytics at the cost of ops complexity and sometimes simpler solutions…
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InterviewScale By The Bay 20182018-11-15
Maintains the Spark Cassandra connector, a production connector used to run Spark on Cassandra data, and describes new work that uses the Catalyst optimization…
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A Tale of Two Graph Engines on SparkScale By the Bay 20172017-11-16
Compares two Spark graph engines: Apache TinkerPop OLAP (Gremlin on Spark) and GraphFrames, showing concrete trade-offs. TinkerPop uses a pair RDD adjacency…
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