Data Analytics: Advanced SQL Queries
Posted January 5th, 2023
From a business standpoint, data analytics is one of the most important aspects of the decision making process. With the ever growing variety of business software available, it’s increasingly common to have multiple separate systems to manage different business areas of a company, but one problem rises from this: data decentralization.
With OMNIA, this stops being a problem. Thanks to our platform’s easy integration system, which allows for an infinite number of data sources (a topic we’ll explore in detail in future posts), coupled with our advanced query feature (details below), reading and modeling all your data becomes a secure, easy and intuitive process, allowing for an immense array of business analytics development possibilities.
Advanced Queries
Advanced queries allow, among other things, for a complete modeling control of all the data provided by the data sources connected to your web application. Regardless of the number of integrated data sources in your application, you can perform any and all SQL queries and make use of the language’s native functionalities (such as filtering, ordering, calculating, summarize data and entity relationships), with no additional effort. Because the feature is exclusively for data reading purposes, security is guaranteed by design.
This feature, when combined with the power of Web Components (see related post), is virtually limitless when presented with complex development scenarios such as, for example, a custom Business Intelligence platform for a company.
Thanks to its normalized data structure, writing SQL will feel natural and intuitive, providing a great data modeling experience.
To top it all off, you can access advanced queries in OMNIA via our REST API, opening up even more development scenarios (that we’ll explore in detail in future posts), in a highly scalable, normalized and secure environment that all developers will easily recognize.
If you wish to know more about Data Source integrations, you can read our technical documentation about it right here, however, we will cover that topic in detail in a future post.
We hope you’ve enjoyed our first approach to the topic of Data Analytics, don’t forget to follow us on LinkedIn, Twitter, and subscribe to our newsletter so you don’t miss our future updates.
