Part 1: Connecting to a Remote Database Instance
Remote work has been on the rise for some time now. Today, for those organizations still operating during the Covid-19 pandemic, it has become a necessity. Luckily, popular database systems (DBMS) have long supported remote connections. Likewise, Navicat's database development and administration products are also well equipped to access databases remotely. In today's blog we'll learn how to establish a secure connection to a remote database instance using Navicat Premium 15.
Perform an Internet search for "database synchronization" and you're likely to receive a lot of information on synchronizing database data. Meanwhile, instructions on synchronizing database schema structure is less prevalent. There is an inherent risk of destroying existing data that comes with altering the database structure. For that reason, you have to be extra careful when doing so.
Navicat can be a tremendous ally in synchronizing database structures. In today's blog, we'll learn how to use Navicat Premium 15's Structure Synchronization wizard to update one database's schema structure to match that of another.
In databases, the NULL value is one that has a very particular meaning. Thus, it is important to understand that a NULL value is different than a zero value or a field that contains spaces. In today's blog, we'll explore what the NULL value means and how to work with NULLs in Navicat Premium.
One of the changes in MySQL version 5.0.3 included an increase to the maximum length of VARCHAR fields from 255 to 65,535 characters. That made the VARCHAR type more similar to TEXT than ever before. For those of us who design database tables, choosing between VARCHAR and TEXT now became more challenging as a result. In today's blog, we'll outline the key differences between the two and layout the factors to consider when deciding which data type to go with.
A repeating group is a series of fields/attributes that are repeated throughout a database table. It is a common problem faced by organizations both large and small, one that can have several ramifications. For example, the same set of information being present in different areas can cause data redundancy and data inconsistency. Moreover, all of this repeating data can eat up a lot of valuable disk space and take a long of time to search through. The problem of repeating groups can be manageable in small organizations, but for larger organizations, whom must manage huge volumes of information, repeating groups can become a nightmare to deal with.
In today's blog, we'll learn how to identify repeating groups both during design time and in existing databases, as well as how to fix them. Since repeating groups are a phenomenon that can affect any relational database, we'll use Navicat Premium as our database development tool.
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