Integrating analytics with relational databases

Raasveldt, M. (2020)

Doctoral Thesis

The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing. However, these powerful systems have gone largely unused by analysts and data scientists. This poor adoption is caused primarily by the state of database-client integration. In this thesis we attempt to overcome this challenge by investigating how we can facilitate efficient and painless integration of analytical tools and relational database management systems. We focus our investigation on the three primary methods for database-client integration: client-server connections, in-database processing and embedding the database inside the client application.

• Database Systems
• Data Analytics
• Data Science
• Embedded Databases
• UDFs

• All authors: Raasveldt, M.
• Supervisor: Manegold, S.
• Co-supervisor: Mühleisen, H.F.
• Committee: Plaat, A.; Bäck, T.; Baratchi, M.; Dittrich, J.; Grust, T.
• Qualification: Doctor (dr.)
• Awarding Institution: Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University
• Date: 2020-06-09
• Title of host publication: SIKS Dissertation Series
• ISBN (print): 9789061960003
• Name: 2020-14
• Sponsorship: PROMIMOOC