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SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful for handling structured data, i.e. data incorporating relations among entities and variables. SQL offers both a data definition language (DDL) and a data manipulation language (DML). The scope of SQL includes data insert, query, update and delete, schema creation and modification, and data access control.
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PostgreSQL VACUUM and ANALYZE Best Practice Tips - 2ndQuadrant | PostgreSQL
Vacuum and Analyze are the two most important PostgreSQL database maintenance operations. Although they sound relatively straightforward, DBAs are often confused about running these processes manually or setting the optimal values for their configuration parameters. In this article, we will share a few best practices for VACUUM and ANALYZE.
7 Best Practice Tips for PostgreSQL Bulk Data Loading - 2ndQuadrant | PostgreSQL
Sometimes, PostgreSQL databases need to import large quantities of data in a single or a minimal number of steps. This process can be sometimes unacceptably slow. In this article, we will cover some best practice tips for bulk importing data into PostgreSQL databases.
Dates and Subqueries in SQL. Working with dates in SQL | by Michael Grogan | Jan, 2023 | Towards Data Science
It is often the case that when working with a SQL database, one typically has to work with tables that contain a date column showing the date for each relevant record. However, the ability of SQL to…