Lectures related to Data engineering

Covers data wrangling techniques using Apache Hive for efficient big data management.

Covers the exercise on determining key parameters of a common source amplifier.

Covers the fundamentals of big data ecosystems, focusing on technologies, challenges, and practical exercises with Hadoop's HDFS.

Covers the principles of data stream processing and its applications in real-time data analysis.

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Delves into high-order correlations in massive datasets and their importance.

Delves into the fundamentals of data journalism and showcases its impact through real-world examples from The Pudding and The Guardian.