Azure Data Storage

Monday, 11 May 2020

Azure Data Storage

Azure data storage is a option to store data in cloud. It is more secure and scalable.

There are three type of Azure storage:


Structured data.

Structured data is data that adheres to a schema, so all of the data has the same fields or properties. Structured data can be stored in a database table with rows and columns. Structured data relies on keys to indicate how one row in a table relates to data in another row of another table. Structured data is also referred to as relational data, as the data's schema defines the table of data, the fields in the table, and the clear relationship between the two. Structured data is straightforward in that it's easy to enter, query, and analyze. All of the data follows the same format. Examples of structured data include sensor data or financial data.

Semi-structured data.

 Semi-structured data doesn't fit neatly into tables, rows, and columns. Instead, semi-structured data uses tags or keys that organize and provide a hierarchy for the data. Semi-structured data is also referred to as non-relational or NoSQL data.

Unstructured data.

Unstructured data encompasses data that has no designated structure to it. This lack of structure also means that there are no restrictions on the kinds of data it can hold. For example, a blob can hold a PDF document, a JPG image, a JSON file, video content, etc. As such, unstructured data is becoming more prominent as businesses try to tap into new data sources.
    Reference from Microsoft learning path

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