What is a Data Pipeline and how you can use it?
Data pipeline represents the flow of data between two or more systems. It is a set of instructions that determine how and when to move data between these systems. To avoid data processing mistakes, the companies apply a data pipeline for moving and storing the data. Data processing pipelines have been in use for many years — read data, transform it somehow, and output a new data set.
How does a data pipeline work:
Step 1. Collecting the Data
Step 2. Extraction
Step 3. Transformation & Standardization
Step 4. Destination
Step 5. Monitoring
We believe that every business can benefit when implementing a data pipeline. Usually, companies have systems that assist with the management and execution of business operations, such as a CRM and it’s the first piece of any data pipeline. Having a data pipeline is necessary if you plan to use data for different purposes, with at least one of them requiring data integration. The technology alone provides quick wins for the business once implementation is complete, and it opens the doors to new business practices that may not have been an option before.
If you want to build or deploy a data pipeline, you should understand your business goals, define your data sources and destinations, and have the right tools. We believe that setting up a reliable data pipeline doesn’t have to be complex and time-consuming. Go to our blog to learn more, and don’t hesitate to contact us.
