Source systems often have different methods of processing and storing data than target systems. Therefore, data pipeline software automates the process of extracting data from many disparate source systems, transforming, combining and validating that data, and loading it into the target repository.
In this way, building data pipelines breaks down data silos and creates a single, complete picture of your business. You can then apply BI and analytics tools to create data visualizations and dashboards to derive and share actionable insights from your data.
Data Pipeline vs ETL
The terms “data pipeline” and “ETL pipeline” should not be used synonymously. The term data pipeline refers to the broad category of moving data between systems, whereas an ETL pipeline is a specific type of data pipeline.
AWS Data Pipeline
AWS data pipeline is a web service offered by Amazon Web Services (AWS). This service allows you to easily move and transform data within the AWS ecosystem, such as archiving Web server logs to Amazon S3 or generating traffic reports by running a weekly Amazon EMR cluster over those logs.