Seamless Data Migration from Custom Objects with Fivetran
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Key Takeaways
⇨ Pulling SAP data, often stored on-premises, is challenging due to complex configurations, strict security protocols, and unique data types. Additionally, the extensive number of tables makes it difficult to identify valuable data and convert large datasets into actionable insights.
⇨ One of the frequent challenges encountered by organizations is the handling of Z transactions and the refactoring of business logic coupled with additional or different logic for existing business processes.
⇨ Fivetran addresses the challenges of integrating SAP systems by leveraging a log-based replication approach, ensuring low overhead on SAP systems.
Organizations need data freedom and the ability to access and gain insights from their data whenever needed. Extracting data from SAP systems can Reveal valuable insights into various processes, but this task is challenging due to complex configurations, strict security protocols, and unique data types. Handling custom-developed Z transactions and refactoring business logic for new destinations, such as data warehouses or lakes, adds another layer of complexity. Fivetran simplifies this process by using a log-based replication approach that incurs minimal system overhead, ensuring efficient and reliable data capture. It addresses SAP scalability challenges by allowing logic development in cloud environments, where skilled data engineers are more accessible. Fivetran’s solutions reduce the time and resources needed for data extraction and replication, eliminating the need for custom integrations and enabling organizations to quickly transfer data to the cloud, thus accelerating insight derivation and informed decision-making.
