Discover how to select the right database for your data science project. Learn about the strengths and weaknesses of different database technologies and review specific use cases.
- [Kumaran] Data science projects are built around databases. The capabilities, and scalability provided by database technology is critical in the success of data science projects. There are a number of database technologies available today. Each with its own characteristics, strengths, and weaknesses. How do you choose the right database technologies for your project? In this course I will show you how to make that choice.
My name is Kumaran Ponnambalam. I am a data science expert, and will show you how databases are used in this field. Also, I will evaluate the leading database technologies so you have a better idea of what is available to you. Then I will present four use cases where I will recommend technologies based on specific needs. So, join me in my course, and let's get started.
Kumaran Ponnambalam begins by discussing the roles of databases in data science, as well as the key feature and performance requirements for databases in this field. Next, Kumaran goes over different database types, sharing the strengths and weaknesses of each one. To wrap up, he walks through specific use cases and shows how to select the best database technology for each situation.