How to Optimize Data Storage and Performance with Data Tiering in ADSO in SAP BW/4HANA

SAP BW/4HANA is a modern data warehousing solution that enables you to integrate, transform, and analyze data from various sources. One of the key challenges of data warehousing is how to manage the data volume, cost, and performance efficiently. This is where Data Tiering Optimization (DTO) comes in handy.

Data Tiering Optimization is a feature that helps you to classify the data stored in the Advanced DataStore Object (ADSO) 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.

Hot data is stored in SAP HANA standard nodes, which provide fast access and high performance. Warm data is stored in SAP HANA extension nodes, which provide more storage capacity and lower cost. Cold data is stored externally in SAP IQ, Hadoop, or SAP Vora, which provide even more storage capacity and lower cost.

In this blog post, we will explain what Data Tiering Optimization is, how it works, and how to use it in SAP BW/4HANA.

What is Data Tiering Optimization?

Data Tiering Optimization is a feature that allows you to optimize the data storage and performance of your ADSO in SAP BW/4HANA. You can use DTO to define different storage options for your ADSO based on the data temperature, which indicates how frequently and urgently the data is accessed.

The data temperature can be one of the following:

• Hot: The data is frequently accessed and is of high importance. The data needs to be stored in SAP HANA standard nodes, which provide fast access and high performance. This option is suitable for operational reporting and real-time analytics.
• Warm: The data is less frequently accessed and is of medium importance. The data can be stored in SAP HANA extension nodes, which provide more storage capacity and lower cost than standard nodes. This option is suitable for historical reporting and trend analysis.
• Cold: The data is rarely accessed and is of low importance. The data can be stored externally in SAP IQ, Hadoop, or SAP Vora, which provide even more storage capacity and lower cost than extension nodes. This option is suitable for archiving and compliance purposes.

You can use DTO to define different storage options for your ADSO either on partition level or on object level. On partition level, you can create partitions based on characteristics such as time characteristics (0CALDAY, 0CALMONTH etc) to divide the entire dataset of your ADSO into several small independent units. You can then assign different storage options for each partition based on the data temperature. On object level, you can assign different storage options for the entire dataset of your ADSO based on the data temperature.

How to Use Data Tiering Optimization in SAP BW/4HANA?

To use Data Tiering Optimization in SAP BW/4HANA, you need to follow these steps:

1. Enable DTO in the General tab of your ADSO. Under Data Tiering Properties, you can choose whether to store your data in the standard layer (hot), extension layer (warm), or external layer (cold).
2. Choose the method by which you want to define the storage options for your ADSO. You can choose either on partition level or on object level.
3. If you choose on partition level, go to the Settings tab of your ADSO and create partitions based on characteristics by which you want to split your dataset. For each partition, provide a lower limit and upper limit for the characteristic value. Then assign a storage option for each partition based on the data temperature.
4. If you choose on object level, go to the Settings tab of your ADSO and assign a storage option for the entire dataset of your ADSO based on the data temperature.
5. Activate the changes in your ADSO. This will generate the metadata and partitions for DTO in SAP BW/4HANA.

Conclusion

In this blog post, we have explained what Data Tiering Optimization is, how it works, and how to use it in SAP BW/4HANA. We have shown how DTO can help you to optimize the data storage and performance of your ADSO based on the data temperature.

We hope you have found this post useful and informative. If you have any questions or feedback, please feel free to leave a comment below.

Disclaimer: This content is generated by AI.