Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.
Explores disk storage anatomy, access times, buffer management, and tree-structured indexing techniques like B+ Trees.
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.
Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
