Modernize your ETL processes with Gathr

Gathr is a modern data platform that lets you easily create batch and streaming ETL pipelines using drag-and-drop operators on a visual IDE. Gathr has a wide array of built-in operators for data sources, transformations, machine learning, and data sinks. It allows you to run your workloads on a distributed cloud environment with support for a wide variety of cloud-native operators.

Gathr not only provides the most cutting-edge environment to run your migrated ETL jobs but also helps in migrating ETL jobs in three-steps:

Step 1 – Assessment

Assessment is an important step to enable the following:

• Highlight differences between the source and target systems
• Examples of source system logic recreated in the target system
• Stakeholder sign-off

Step 2 – Conversion

Conversion involves moving the existing ETL logic to the target system. Traditional ETL workloads are transformed into Spark-based distributed workflows to be executed on Gathr.

Step 3 – Validation

Ensuring a successful migration is crucial for business continuity. Gathr’s validation capability ensures all the existing workloads are successfully migrated, and there are no gaps in logic that can result in loss of data when jobs are executed in the new environment.

• Drastically reduced migration efforts
• Increase in developer productivity
• Automated validation
• One-to-one mapping of existing workflows

To know more about how to migrate from traditional ETL workloads to distributed Spark-based workflows in Gathr, write to us at contact@gathr.one