It’s no secret that many companies today have large, or even massive, datasets in S/4 HANA systems that need to be uploaded to SAP Business Data Cloud, SAP Datasphere or SLT. A prime example of this is the CDS View I_GLAccountLineItemRawData, which consume data from the ACDOCA table. There are known cases where the ACDOCA table exceeds 10 billion records. This article will discuss the problems that arise when transferring such large datasets and explore potential solutions.
It’s no secret that many companies today have large, or even massive, datasets in S/4 HANA systems that need to be uploaded to SAP Business Data Cloud, SAP Datasphere or SLT. A prime example of this is the CDS View I_GLAccountLineItemRawData, which consume data from the ACDOCA table. There are known cases where the ACDOCA table exceeds 10 billion records. This article will discuss the problems that arise when transferring such large datasets and explore potential solutions. Read More Technology Blog Posts by SAP articles
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