How to Replicate Data to BigQuery with SAP Data Services
In this post, you will be taken through the various aspects of replicating data SAP to BigQuery.
Business data present in the SAP Data Warehouse Cloud of the SAP Business Technology Platform can now be integrated with data like BigQuery using hyper-scaler storage with specific tools that directly query data through virtual tables.
The advantage here is that live connectivity can be had along with the capability to query Google BigQuery data from the SAP Data Warehouse Cloud. This is important for organizations requiring business data analytics and critical generation of reports.
You can also replicate data from SAP to BigQuery and analyze all third-party and SAP data in one place or get access to real-time analytics without replicating data and getting live connectivity to query BigQuery by virtual tables. The Rate of Return in ongoing Google and SAP services is thereby maximized.
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To replicate data from SAP to BigQuery, the database must be in SAP HANA or other platforms supported by SAP. The data replication process of SAP to BigQuery can be used for combining data in BigQuery systems and SAP data systems. This data is best used for getting critical business insights from Machine Learning (ML) for data analysis even on a petabyte scale.
SAP system administrators can easily carry out SAP to BigQuery replication provided they have the required expertise in the configuration of SAP Basis, SAP DS, and the Google Cloud.
Replicating Data from SAP to BigQuery
The reason why SAP to BigQuery is the preferred option of most businesses today is because of its smooth and seamless replication process. First, the data is extracted by the SAP Data Services or any other underlying database. It is then processed and formatted to match the data structure supported by BigQuery. Finally, the formatted data is transferred to BigQuery after which it is available in BigQuery for analytics. For exporting data to BigQuery, users can preset the time when the SAP Data Service should start the process. Once initiated, the data in the BigQuery table is overwritten by the data that is newly imported. After the replication is completed, the data in BigQuery is delinked from the source system and no longer kept in sync. However, for ensuring data provisioning and delta capabilities for all source tables in real-time, the Change Data Capture (CDC) feature of SAP Data Service is leveraged by the SAP Replication Server. For replicating data from SAP to BigQuery, all source system data must be updated in the SAP applications which is then stored in the Operational Delta Queue. The SAP LT Replication Server replicates all changes made to the data. The SAP DS extracts the data from the delta queue and then formats it to a structure that is supported by BigQuery. The final work is loading this data from SAP to BigQuery.
