I'm working for SAP since more than 10 years and as a member of the BW product management team I received a lot of questions from customers regarding new functionalities for data lifecycle mangement and data aging strategies in SAP BW/4HANA.
Therefore, I would like to share a summary of the currently available information.
With SAP BW/4HANA 1.0 SP04 SAP is providing functionality to classify persistent BW data into hot, warm and cold.
In this blog, I'll explain the advantages of the SAP BW/4HANA exclusively available new feature for Data Tiering Optimization (DTO) in technical details.
Data Tiering Optimization helps SAP BW/4HANA customers to classify the data in the DataStore object (advanced) as hot, warm or cold, depending on the cost and performance requirements for the data.
Depending on this classification and how the data is used, the data is stored in different storage areas. Data Tiering Optimization provides a central UI, where all storage options can be set. The partitions from the SAP HANA database are used for this.
The following options are available:
Standard Tier (hot): The data is stored in SAP HANA.
Extension Tier (warm): The data is stored in a SAP HANA extension node. Only SAP HANA Extension Nodes can be used for warm data storage in SAP BW/4HANA - SAP HANA Dynamic Tiering is not applicable to SAP BW/4HANA.
External Tier (cold): The data is stored externally (SAP IQ or Hadoop (Hadoop is only available with SAP BW/4HANA 1.0 FP08 or higher)).
SAP Data Tiering Optimization is an option to optimize the memory footprint of data in SAP BW/4HANA and streamline administration and development, thereby reducing TCO.
Introducing one data tiering concept for hot, warm and cold data based on Advanced DataStore Objects enables users to create full flexible partitions based on the data temperature in SAP BW/4HANA. Find the full presentation here: