Explores optimizing recursive queries in database systems using Datalog and semirings, discussing the challenges and solutions in data analytics.
Explores cost-based query optimization in database systems, covering cost estimation, selectivity estimation, and join cardinality.
Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.
Discusses efficient GPU-accelerated join optimization for complex queries, aiming to improve optimization times and heuristic plan quality.
Explores challenges in modern DBMS, AQP trade-offs, and NAND flash technology evolution.
Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
Covers efficient GPU-accelerated join optimization for complex queries, focusing on improving optimization times and heuristic plan quality.
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Explains the translation of for-expressions in Scala using map, flatmap, and filter functions, with examples and a discussion on its generalization to different types.
