Find out how to keep track of data model changes in Vertabelo using Git as a source control management tool. In this article we will discuss a possible way to use source control management tools like GIT to track all changes in your Vertabelo data model. We are also going to detail the code-database workflow that we use daily to develop Vertabelo itself as well as our other applications.
Database design goes way beyond just drawing lines and boxes. In this article, I reflect on the process of data modeling with an emphasis on best practices, as well as on how to use tools to implement those best practices to create a good database design. Database design is the process of producing a detailed model of a database. The start of database modeling involves getting a grasp on the business area and the functionality being developed.
Curious about why we model data with an entity-relationship diagram (ERD)? You've come to the right place. An entity-relationship diagram, or ER diagram, is essential for modeling the data stored in a database. It is the basic design upon which a database is built. ER diagrams specify what data we will store: the entities and their attributes. They also show how entities relate to other entities. Another advantage of ERDs is that they represent the data in a graphical manner.
Find out how to use the new Vertabelo Public API to access data models, SQL scripts, and more. One of the signs of a decent SaaS solution is its public API. A good API helps users to incorporate some automation into an application. Based on our experience in using other SaaS services, we have introduced a more document-oriented version of our public API. In this article, we will demonstrate how to use Vertabelo API to fetch a list of documents (models), SQL scripts, and data models in various formats.
So you don't like writing all of your SQL CREATEs by hand? Design your database with Vertabelo and let it generate the SQL file for you! As you may already know, there are three different levels of data models: conceptual, logical, and physical data models. The conceptual model is the most abstract, while the logical model has a few more technical details. The physical data model defines all the details needed for a specific database: column data types, primary and foreign keys, constraints, indexes, sequences, views, and other physical objects.
Learn how to import your database into Vertabelo and generate its data model with our improved reverse engineering feature. We’re excited to announce the release of a new version of our popular reverse engineering tool. You've been asking for a user-friendly interface, and we heard you. If working with Java is not your thing, our new graphical user interface lets you click through the process in no time. Download the upgraded reverse engineering tool here.
Find out how to design an Amazon Redshift schema in Vertabelo. Thanks to increasing volumes of data, analytical databases like Amazon Redshift are gaining market. We introduced Redshift support at the end of 2019; in this article, we will explain how to design a Redshift data model using Vertabelo. How to Create a Model Let's start with the data model creation process. To create a Redshift schema, please: Log into Vertabelo and click on Create new document.
Have you finished preparing your logical data model in Vertabelo? Awesome! In this article, we'll show you how to generate the physical data model from the logical model in Vertabelo. It’s just a few clicks away. Ready? Let's dive into it. Quick Intro In this article, we'll deal with a slightly modified version of Microsoft's Northwind Database. We often use it in our LearnSQL courses, such as Customer Behavior Analysis in SQL.
Amazon Redshift is one of the most popular cloud databases. Could it be your data-warehouse solution? Read on to find out if Amazon Redshift meets your needs. In 2012, Amazon announced its new cloud database system called Redshift. Basically, it is a data-warehouse solution intended for analytical systems, which can handle huge volumes of data—up to 1 petabyte (1024 TB). Amazon Redshift is available as a service (Database as a Service) and is a part of a bigger cloud ecosystem called Amazon Web Services (AWS).
Find out how to create logical data models in Vertabelo! If you have some experience with physical diagrams, this will be as easy as pie. There are three different levels of data models: conceptual, logical, and physical. Of these, the conceptual model is the most abstract, and the logical model has a few more technical details. The physical model has all the details of the physical database, such as data types (integer, decimal, money, varchar, etc.