Knowledge graphs are becoming increasingly common thanks to their wide range of applications across industries. This guide introduces you to their basic principles and some examples.
Data modeling is the process of mapping out how major pieces of data will relate to one another before creating an analytical model. Here’s what you need to know.
Statistical analysis helps you pull meaningful insights from data. The process involves working with data and deducing numbers to tell quantitative stories.
A data pipeline is a series of data processing steps. A data pipeline might move a data set from one data storage location to another data storage location.
Non-relational databases (NoSQL databases) are data stores that are either schema-free, or have relaxed schemas that allow for changes in the data structure.
