Integrate Standalone SAP HANA Cloud DB to SAP BW4HANA

[rajeshps]

Hello Team,

I could liked to know the best recommended pattern to connect Standalone SAP HANA Cloud DB to SAP BW4HANA.

There are several options like ABAP Utility for Data Extraction ZCL_HANA_CATALOG_UTILITIES, ODP – Information View Connection Type, any Pseudo Delta Pushdown and there are some challenges on each along with its pros and cons.

For this requirement the volume is pretty high overall 7+million data and 1lakh message per hour back to back continously.

Kindly provide your valuable inputs

[vishalakshmi]

Connecting a Standalone SAP HANA Cloud DB to SAP BW4HANA requires careful consideration, especially given your high volume requirements.

ABAP Utility for Data Extraction (ZCL_HANA_CATALOG_UTILITIES):

Pros: This utility provides a straightforward way to extract data from SAP HANA tables directly into BW4HANA.
Cons: It may not be the most efficient method for handling large volumes of data, especially if you're dealing with millions of records.
Challenges: Performance issues may arise due to the sheer volume of data, potentially leading to longer extraction times and resource consumption.

ODP – Information View Connection Type:

Pros: Offers a standardized method for data extraction that leverages SAP's Operational Data Provisioning (ODP) framework.
Cons: Requires setting up and maintaining Information Views, which adds complexity to the solution.
Challenges: While ODP is designed for high-volume data extraction, performance tuning may be necessary to ensure optimal throughput, especially with large datasets.

Pseudo Delta Pushdown:

Pros: Provides a mechanism for efficiently extracting delta changes from the source system, reducing the amount of data transferred.
Cons: Implementation complexity can be higher compared to full data extraction methods.
Challenges: Ensuring that pseudo delta mechanisms are properly configured and maintained is crucial for accurate and timely data replication.

Ultimately, the best approach will depend on factors such as your specific data model, existing infrastructure, and resource constraints.