Navicat 17, which is due for release on May 13 (for English Edition), adds many new and exciting features. One of these is the Data Dictionary tool. It employs a series of GUI screens to guide you through the process of creating a professional quality document that provides descriptions for each data element within databases across various server platforms. In today's blog, we'll learn more about Data Dictionaries, as well as go through the steps to create one in Navicat 17.
Last week's blog heralded the upcoming launch of Navicat 17, which is currently in Beta and scheduled to arrive on May 13 (English Edition)! As we saw, version 17 introduces a lot of exciting new features. One of the biggest is the Data Profiling tool. It provides a visual and comprehensive view of your data at the click of a button! In today's blog, we'll use it to obtain some quick statistics on the rental table of the free PostgreSQL "dvdrental" sample database.
One of PostgreSQL's key features is the ability to enforce various constraints on data, ensuring data integrity and reliability. Today's blog article will provide an overview of PostgreSQL's various constraint types and explore their usage with examples from the free "dvdrental" sample database.
It's official: Navicat 17 (English Edition) is currently in Beta and scheduled to launch on May 13! If you thought that Navicat 16 introduced a lot of exciting new features, you may want to sit down for this. There is so much ground to cover for this upgrade that we can barely get through all of them in one article. Nonetheless, today's blog will at least provide an outline of what to expect come May 13 (for English Edition).
PostgreSQL, the popular open-source relational database management system, offers various index types to optimize query performance and enhance data retrieval efficiency. In this article, we'll learn how to create different types of indexes in PostgreSQL. Wherever possible, indexes will be applied to the free "dvdrental" sample database using both DML statements as well as Navicat for PostgreSQL 16.
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