Data movement refers to the ability to transfer data through a variety of methods from one source or system in your company to another destination.

Future uses of data will require an automated data movement platform, not just data pipelines as single point solutions.

Learn how these trends highlight the growing importance and adoption of cloud-based solutions for businesses of all sizes.

Learn three reasons why you should only perform your data transformations post load.

In this article, we will discover the process of sending custom metrics, provided to us through the xk6-browser, in order to gain a better understanding of our performance tests. Through the integration of these metrics, we will be able to create more tailored Slack messages that will help to manage our rule sets.

Choosing one over the other can come down to a few key differences. Let’s take a look at both to help you make an informed decision.

Data integration is essential for businesses to achieve efficient and effective processes. For successful data integration, businesses can choose between in-house software development or outsourcing their data integration needs. Due to the potential risks of developing in-house, it may make sense for your company to outsource your data integration needs to a trusted third party to ensure all your needs are met on time and on budget.

Understanding the difference between structured and unstructured data is a critical first step to creating a comprehensive plan for fully utilizing your company's data.‍

Use Fivetran to rapidly and automatically ingest CSV and other ASCII files of unknown structure.

Compare the features & pricing of the best data migration tools.