What are the Transformations in Airbyte?

Transformations are crucial for cleaning, enriching, and restructuring data to meet the requirements of the target system or analytics use cases.

There are several Transformations

1. Cleaning Data: Removing duplicates, handling missing values, and correcting errors to ensure data quality.
2. Enriching Data: Adding additional information to the data set, such as merging data from different sources or appending calculated fields.
3. Restructuring Data: Transforming the structure of data to match the schema required by the destination system.
4. Filtering Data: Selecting specific rows or columns based on certain conditions to reduce the volume of data transferred.
5. Aggregating Data: Combining multiple rows of data into summary statistics or aggregations.
6. Schema Mapping: Adjusting the data schema to match the target system’s schema.

We at Helical have more than 10 years of experience in providing solutions and services in the domain of data and have served more than 85+ clients. Please reach out to us for assistance, consulting, services, maintenance as well as POC and to hear about our past experience on Airflow. Please do reach out on nikhilesh@Helicaltech.com

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Sharath Chandra
Helical IT Solutions