Updating relational databases through views
The schema is the structure described in a formal language supported by the database and provides a blueprint for the tables in a database and the relationships between tables of data.Within a table, you need to define constraints in terms of rows and named columns as well as the type of data that can be stored in each column.In a document-oriented model, data objects are stored as documents; each document stores your data and enables you to update the data or delete it.Instead of columns with names and data types, we describe the data in the document, and provide the value for that description.If we wanted to add attributes to a beer in a relational model, we would need to modify the database schema to include the additional columns and their data types.In the case of document-based data, we would add additional key-value pairs into our documents to represent the new fields.
We represent each beer as a separate document and reference the brewery in the field.Today, modern enterprises are thinking about better ways to store and manage their data -- whether it's to gain better customer insight, adapt to changing user expectations, or beat competitors to market with new applications and business models.As a result, many of the assumptions that drove the development of earlier relational databases have changed: As a result, non-tabular databases, like Mongo DB, have emerged in order to address the requirements of new applications, and modernize existing workloads.Like other relational systems, My SQL stores data in tables and uses structured query language (SQL) for database access.In My SQL, you pre-define your database schema based on your requirements and set up rules to govern the relationships between fields in your tables.
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The problem with this approach is that when you change information across tables, you need to lock those tables simultaneously to ensure information changes across the table consistently.