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Require SQL Server Change Data Capture? BryteFlow guarantees availability and lightning-fast replication across several platforms. Our Change Data Capture can be simply set up without admin access or access to logs. BryteFlowu2019s SQL Serverlog-based technology allows continuous loading and merging changes in data without slowing down source systems.
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Replicating Data to BigQuery With SAP Data Services What is the benefit of replicating data to BigQuery from the SAP Data Warehouse? It enables businesses to carry out critical reporting processes and data analytics. Users can also replicate data from SAP to BigQueryto analyze all SAP and third-party data in one place and get real-time analytics. This is possible without replicating data and ensuring live connectivity to query BigQuery by virtual tables. This results in the maximization of the Rate of Return in SAP and Google services. • Provided support is given for SAP to BigQuery,the database can be either SAP HANA or any other system. The replication from SAP to BigQueryis used to combine SAP systems data with BigQuery. This data is later used to get deep insights from Machine Learning (ML) for analysis of data on a petabyte-scale. SAP system administrators who have the required skills and expertise in configuring SAP Basis, SAP DS, and the Google Cloud are well placed to handle SAP to BigQueryreplication.
A flowchart has to be followed for SAP to BigQuery data movement. First, SAP applications have to update all data in the source system. Next, changes made to the data are replicated by the SAP LT Replication Server and stored in the Operational Delta Queue. During this process, changes to the data are continually tracked at pre-set times by a subscriber of the Operational Delta Queue, SAP DS. Next, SAP DS pulls the data from the Delta Queue and formats it so that it matches a structure that is compatible with BigQuery. Once this process is completed, data is loaded from SAP to BigQuery. The data is now customized for cutting-edge business analytics.