Ques:
The finance team requires five years of historical transaction data for auditing and trend analysis. However, querying such large data volumes impacts performance. How would you model the data to balance performance and data retention needs in SAP BW HANA?
Ans:
For the data retention and performance balance, as required by the finance team in SAP BW HANA, we have to structure our data model in a very optimized way for querying and loading historical data.
The key strategies we can follow are:
– Using ADSO for storing the transactional data. We can optimize the performance by applying various partitioning and compression techniques.
– Partitioning is a great way to ensure we manage the large data volume properly. We can partition the data based on various time dimensions including year, quarter, and month. When we partition the ADSO on specific periods, we can avoid the scanning of all the datasets and improve the performance.
– For the purpose of data retention, we can also use the concept of Data Tiering (hot, warm, or cold data). This we can done to manage the storage of historical data. Hot data i.e. current fiscal year which is frequently used, should remain in primary storage. Warm data prior to 2-3 years can be moved to a secondary storage solution. Older historical data i.e. beyond 5 years can be achieved to external storage systems and reloaded on demand when needed for auditing.
– We can create aggregated views for historical data that allow trend analysis without overloading the system with detailed transactional records. This approach helps when trend analysis and auditing do not require individual transactional records, but instead need summarized data.
– If the historical data is stored in external systems, you can use Open ODS Views to connect and virtualize data from those systems.
– Indexing and Optimizations: Ensure indexing of time-based fields and use HANA optimizations to improve query performance.
By employing these techniques, you can meet the data retention requirements while ensuring the performance of reporting and analysis in SAP BW HANA.
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