Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers file organization, indexing, and metadata in databases. It explains the concepts of heap and sorted files, different types of indexing like primary, clustering, and secondary key. The instructor discusses index classification, clustered vs. unclustered indexes, and dense vs. sparse indexes. Various indexing techniques such as hash vs. tree are explored, along with the importance of choosing the right search key. Examples of simple indexes on GPA and data entry representations are provided, highlighting the tradeoffs between different index structures.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace