SQL Dataflows


Prepare your data with DOMO

DOMO SQL Dataflows

The most user-friendly SQL

Sequel Data Flows in Domo offer a robust and user-friendly way to transform and prepare your data for analysis. They provide a visual interface for building data pipelines, allowing you to extract, transform, and load data from various sources into Domo datasets. One of the key benefits of Sequel Data Flows is their ease of use. The visual interface allows you to create complex data transformations without the need for coding or scripting, making it accessible to users with varying levels of technical expertise.

Sequel Data Flows also offer a high degree of flexibility and customization. You can easily add, remove, or modify data transformation steps to suit your specific requirements. This flexibility makes Sequel Data Flows ideal for a wide range of use cases, from simple data cleaning and formatting to more advanced data enrichment and aggregation.


Benefits and Use Cases


An advantage of Sequel Data Flows is their scalability. They can handle large volumes of data and can be scheduled to run at regular intervals, ensuring that your datasets are always up to date. This scalability makes Sequel Data Flows suitable for businesses with growing data needs, allowing you to scale your data pipelines as your business grows.

In terms of use cases, Sequel Data Flows are commonly used for data integration, data preparation, and data transformation tasks. They can be used to combine data from multiple sources, clean and standardize data formats, and perform calculations and aggregations to derive meaningful insights.