Explores parallel and distributed databases, covering architectures, query optimization, data storage, and distributed transactions.
Covers the definition of biological contaminants and the transmission of pathogens, including emerging infectious diseases and antibiotic resistance.
Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Covers Spark Data Frames, distributed collections of data organized into named columns, and the benefits of using them over RDDs.
Explores bug-finding, verification, and the use of learning-aided approaches in program reasoning, showcasing examples like the Heartbleed bug and differential Bayesian reasoning.
Covers query optimization, from logical to physical plans, including query transformation and cost estimation.
Explores optimizing recursive queries in database systems using Datalog and semirings, discussing the challenges and solutions in data analytics.
