Unlocking Real-Time Insights in SAP HANA Live
In the evolving landscape of enterprise data management, Core Data Services (CDS) Views play a pivotal role in shaping real-time analytical queries in SAP environments. With SAP HANA Live, CDS Views provide a semantic, reusable, and performance-optimized layer that enables businesses to extract meaningful insights directly from transactional data without data duplication.
This article delves into how to build efficient and effective analytical queries using CDS Views within SAP HANA Live, highlighting best practices and key features.
Define your CDS View with appropriate data categories to signal analytical intent:
@Analytics.dataCategory: #CUBE
define view Z_AnalyticalSales as select from sales_order {
key sales_order.id,
sales_order.date,
sum(sales_order.amount) as TotalAmount
}
group by sales_order.id, sales_order.date
#CUBE indicates the view is designed for analytical consumption.sum) is essential for measures.Annotate measures and dimensions properly for analytical tools to interpret them correctly.
@Analytics.measure: true
sum(sales_order.amount) as TotalAmount
@Analytics.dimension: true
sales_order.customer_id
Leverage annotations to enhance query usability in front-end tools:
@UI.lineItem to specify fields visible in reports.@OData.publish: true to expose CDS View as OData service.Example:
@OData.publish: true
@UI.lineItem: [{ position: 10, label: 'Customer' }]
define view Z_AnalyticalSales ...
Start by selecting the base tables with relevant fields. Focus on the data needed for your analysis.
Decide which fields represent measures (numeric data to aggregate) and which represent dimensions (keys or attributes for grouping).
Use aggregation functions (sum(), count(), avg(), etc.) and group by dimensions to build meaningful analytical outputs.
Enhance the query with calculated fields or filters to focus analysis.
@ComputedColumn: true
define view Z_ProfitMargin as select from sales {
...
(sales_amount - cost_amount) / sales_amount as ProfitMargin
}
Add annotations to guide UI tools and expose the CDS View via OData.
@AbapCatalog.sqlViewName: 'ZSALES_SUM'
@Analytics.dataCategory: #CUBE
@OData.publish: true
define view Z_SalesSummary as select from sales_order {
key sales_order.customer_id as Customer,
sales_order.sales_region as Region,
@Analytics.measure: true
sum(sales_order.net_value) as TotalSales,
@Analytics.measure: true
sum(sales_order.quantity) as TotalQuantity
}
group by sales_order.customer_id, sales_order.sales_region
Building analytical queries with CDS Views in SAP HANA Live empowers organizations to harness real-time operational data efficiently. By combining semantic richness, performance optimization, and seamless integration with front-end tools, CDS Views provide a robust foundation for modern analytics.
Mastering CDS analytical queries enables SAP professionals to deliver actionable insights and drive data-driven decision-making within SAP landscapes.