Data storage: transactions vs. analytics
Linear Digressions
English - September 23, 2019 01:49 - 16 minutes - 7.39 MB - ★★★★★ - 350 ratingsTechnology data science machine learning linear digressions Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Data scientists and software engineers both work with databases, but they use them for different purposes. So if you’re a data scientist thinking about the best way to store and access data for your analytics, you’ll likely come up with a very different set of requirements than a software engineer looking to power an application. Hence the split between analytics and transactional databases—certain technologies are designed for one or the other, but no single type of database is perfect for both use cases. In this episode we’ll talk about the differences between transactional and analytics databases, so no matter whether you’re an analytics person or more of a classical software engineer, you can understand the needs of your colleagues on the other side.