Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.
Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
