Explores indexing in database systems, covering storage, files, and efficient data retrieval techniques using various types of indexes.
Explores file organization, indexing methods, and database storage design, including record formats, page formats, and index classification.
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Covers hashing, sorting, extendible hashing, linear hashing, and external sorting.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers clustering time series data using dynamic time warping, string metrics, and Markov models.
Covers data science tools, Hadoop, Spark, data lake ecosystems, CAP theorem, batch vs. stream processing, HDFS, Hive, Parquet, ORC, and MapReduce architecture.
Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
