Having covered Navicat version 17 over the course of the last few weeks, it's time that we turned our attention to two other noteworthy releases, namely Navicat Data Modeler and Navicat BI (previously called Navicat Chart Creator). Today's blog will introduce Navicat Data Modeler 4, while Navicat BI will be featured next week.
Navicat 17 gives you more ways to connect to your database instances than ever before. In addition to traditional connection strings, Navicat 17 also supports URI connections. These provide access objects with ease, regardless of their location. There's also a new Manage Connection feature, which allows you to establish and manage connections through a single user-centric interface. In today's blog, we'll learn about both these exciting new features and how to use them to organize our connections with stars, colors and groups.
With less than a week to go before the release of Navicat 17, this is the perfect time to delve into the new Table Profile feature. It allows us to save different combinations of filters, sort orders, and column displays that are frequently used for the table. So, without any further ado, let's get started!
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.
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