Integrating Business Data in SAP With Google BigQuery

If you are looking to seamlessly query data directly through virtual tables by using hyper-scale storage, the most optimized way is to integrate business data in SAP Warehouse Cloud with Google BigQuery.

There are several benefits of SAP to BigQuery data replication primarily analyzing SAP and third-party data in a single location leading to maximized ROI in Google services and SAP. Another is live analytics without the need to replicate data thereby making sure of real-time connectivity to check BigQuery through virtual tables.

For SAP to BigQuery data replication, the database can either be SAP HANA or another platform supported by SAP. The data replicated here can be used for creating a backup in SAP to be used with data from a range of SAP systems to BigQuery. It also offers insights from ML (Machine Learning) for data analytics regardless of the scale of the systems. Hence, replication from SAP to BigQuery can be done easily by any SAP system admin who has the expertise in handling SAP DS, SAP Basis, and Google Cloud.

The process of SAP to BigQuery

Before starting on the process of SAP to BigQuery, the groundwork has to be prepared for it. The most important is that the database server, SAP Data Services, and the SAP application systems should be configured and preinstalled. Further, it has to be verified whether all licensing clauses are met during configuration. However, these are not standardized and the prerequisites for SAP to BigQuery differ depending on whether data is exported directly from an application in SAP or an ancillary database.

Once these initial steps have been completed the SAP to BigQuery data replication will flow as follows.

· Data is first updated in the source systems by the SAP applications

· Next, all changes to the data are replicated by the SAP LT Replication Server that is then stored in the Operational Delta Queue.

· The SAP DS, a subscriber of the Operational Delta Queue tracks the queue at pre-determined intervals for any changes to the data.

· The data is then extracted by the SAP DS from the delta queue that processes and formats it to match the architecture supported by BigQuery and starts the step to load the processed data from SAP to BigQuery.

This completes the SAP to BigQuery data replication and the data is now ready for business analytics.

One of the benefits of SAP to BigQuery replication of data is that the process to export data can be pre-timed as per convenience. The data that is exported overwrites data that is present in BigQuery. After the replication is done, the data in BigQuery (target system) need not be kept continually in sync with the source systems. For any changes taking place after data replication, SAP Replication Server leverages the SAP Data Services Change Data Capture feature to update the database accordingly.