Covers the fundamentals of data stream processing, including tools like Apache Storm and Kafka, key concepts like event time and window operations, and the challenges of stream processing.
Explores deanonymization using public datasets from Netflix, focusing on matching users and evaluating films based on ratings.
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Covers a homework assignment on data wrangling and analysis using Python's pandas library for real-world datasets.
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
