From the course: Data Ingestion with Python
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Different types of data - Python Tutorial
From the course: Data Ingestion with Python
Different types of data
- [Instructor] Apart from the various sources of data, we also have several types of data. Here are some common ones. Records, this data is usually found inside relational databases, and has well-defined columns and types. Metrics, a lot of algorithms in data science work with metrics. This data is usually a mix of numerical types, integers and floats. You'll find such data in storage like HDF5 and others. Graphs, working social networks and relationships between users, you'll find yourself using sentences like, "Users with two degrees of separation and are in the age group of 20 to 30." You'll find this data in graph databases like Neo4j. Textual, user comments, Wiki pages and much more. A lot of content on the Internet is text. You'll find this data everywhere, from plain text files on disk to columns in databases to specialized databases like Elasticsearch. I'm sure I've missed some of the data types. Not everything fits in these categories. You should know what type of data you're…
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