Data Integration
Data Integration is the process of combining data from multiple disparate sources into a unified, consistent, and usable form. These sources can include social media platforms, IoT devices, customer transactions, internal applications, and external databases. The integrated data is then stored in a centralized repository like a data lake, for further processing.
The pipeline for a typical data integration job consists of the following stages: Data Source > Data Integration > Data Lake
Calibo's Data Pipeline Studio (DPS) provides templatized integration jobs with around 30+ templates using various supported combinations of data sources, integration tools and data lakes. Apart from templatized data integration, DPS also supports custom integration jobs in which you can use custom code.
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What's next? Ingesting Data from SFTP into a Snowflake Data Lake |