DBeaver is a free, open source, graphical database management tool for database developers and administrators.

UPDATE: SQL Operations Studio (SQLOPS) has since been renamed to Azure Data Studio. The steps in this article remain the same though. In any case, I’ve also rewritten these steps (and included the equivalent screenshots) specifically for Azure Data Studio . See How to Restore a SQL Server Database on a Mac using Azure Data Studio.
Restoring a database is a piece of cake with SQL Operations Studio. It’s a similar process to doing it with SQL Server Management Studio. Simply click Restore and follow the prompts.
This restore process allows you to navigate through the computer’s file system to locate the .bak file. This .bak file contains a backup of the database you want to restore. So when SQL Server restores the database, it’s using the .bak file to do so.
However, if you’re running your SQL Server instance inside a Docker container (which of course, you would be if you’re running SQL Server on Mac or Linux), there’s something you need to be aware of if your backup file is located outside the Docker container.
UPDATE: SQL Operations Studio has since been renamed to Azure Data Studio.
SQL Operations Studio (sometimes abbreviated to SQLOPS, SQL Ops Studio, or SQL Ops) is a free, cross-platform tool that can be used to manage SQL Server, Azure SQL Database, and Azure SQL Data Warehouse.
UPDATE: SQL Operations Studio (SQLOPS) has since been renamed to Azure Data Studio. The steps in this article remain the same though. In any case, I’ve also rewritten these steps (and included the equivalent screenshots) specifically for Azure Data Studio . See Create a SQL Server Database with Azure Data Studio.
Here, I explain how to use SQL Operations Studio (SQLOPS) to create a database in SQL Server.
In my case, I’m running SQL Server on a Mac (via a Docker container), but these instructions are generic and should work exactly the same way on Linux and Windows.
This tutorial assumes you already have SQLOPS installed on your machine, and you’ve connected to your SQL Server instance. If you don’t have SQLOPS installed on your machine, here are instructions for installing it on a Mac and connecting to SQL Server via Docker. The SQLOPS installation is pretty straightforward (you install it just like any other software), so if you’re on Linux or Windows, you shouldn’t have any issues.
UPDATE: SQL Operations Studio (SQLOPS) has since been renamed to Azure Data Studio. The steps in this article remain the same though. In any case, I’ve also rewritten these steps (and included the equivalent screenshots) specifically for Azure Data Studio . See How to Install Azure Data Studio on a Mac.
SQL Operations Studio (also abbreviated to SQLOPS) is a free tool that you can use to manage SQL Server. It uses a graphical user interface (GUI) that helps you view the various databases and objects within a SQL Server instance. It can run on Windows, macOS, and Linux, and it’s also designed to be used with Azure SQL Database, and Azure SQL Data Warehouse.
Here I explain how to install SQLOPS onto a Mac, then how to use it to connect to SQL Server.
If you happen to read a lot of data-related material, you might occasionally find the word “data” being treated in different ways. In some cases you’ll see “this data is…” and in other cases “these data are…”. You might even think “they obviously made a mistake with their grammar”.
Not so fast!
OLAPÂ (Online Analytical Processing) is a category of database processing that facilitates business intelligence.
OLAP provides analysts, managers, and executives with the information they need to make effective decisions about an organization’s strategic directions. OLAP can provide valuable insights into how their business is performing, as well as how they can make improvements.
OLTP (Online Transactional Processing) is a category of data processing that is focused on transaction-oriented tasks. OLTP typically involves inserting, updating, and/or deleting small amounts of data in a database.
OLTP mainly deals with large numbers of transactions by a large number of users.
Normalization is the process of organizing a database to reduce redundancy and improve data integrity.
Normalization also simplifies the database design so that it achieves the optimal structure composed of atomic elements (i.e. elements that cannot be broken down into smaller parts).
Also referred to as database normalization or data normalization, normalization is an important part of relational database design, as it helps with the speed, accuracy, and efficiency of the database.
The Third Manifesto is a detailed proposal for the future direction of data and database management systems (DBMSs).
Written by C.J. Date and Hugh Darwen, The Third Manifesto can be viewed as a blueprint for the design of future DBMSs, as well as any language designed to interface with them.