Subject: SAP-HANA-Live
In the era of digital transformation, organizations require sophisticated analytics to gain deeper insights and drive smarter decisions. SAP HANA Live provides real-time operational data through Core Data Services (CDS) views, enabling advanced analytics capabilities directly on top of live transactional data.
This article explores how to implement advanced analytics using CDS views in the context of SAP-HANA-Live, highlighting techniques, best practices, and the benefits of leveraging SAP HANA’s in-memory computing power.
Core Data Services (CDS) views are semantic layers built on SAP HANA that model business entities and processes using SQL-based definitions enriched with annotations. SAP-HANA-Live leverages CDS views to expose real-time business data in a consumable and extendable form.
CDS views support complex analytical operations like aggregations, calculations, and hierarchies, making them a powerful foundation for advanced analytics.
Use CDS syntax to define measures and aggregate data, such as sums, averages, and counts, grouped by business dimensions (e.g., customer, region).
@Analytics.dataCategory: #CUBE
define view Z_AdvancedSalesAnalysis as select from sales_order {
customer,
region,
sum(amount) as total_sales,
count(sales_order_id) as order_count
}
group by customer, region
Implement calculated columns using expressions and functions within CDS views to derive new insights (e.g., profit margin, growth rates).
define view Z_SalesWithMargin as select from sales_order {
sales_order_id,
amount,
cost,
amount - cost as profit
}
Model hierarchies in CDS views to enable drill-down reporting, such as product categories or organizational structures.
Use annotations like @Hierarchy.parentChild to define hierarchical relationships.
Leverage SQL window functions within CDS views for advanced calculations like running totals, rankings, and moving averages.
define view Z_SalesRanking as select from sales_order {
sales_order_id,
customer,
amount,
rank() over (partition by region order by amount desc) as sales_rank
}
Use time-based functions and annotations to analyze trends, periods, and comparisons (year-over-year, month-to-date).
Annotations like @Semantics.currencyCode and @Semantics.amount.currencyCode enhance currency handling.
CDS annotations enrich analytical models by providing metadata for:
For example, the annotation @Analytics.query: true makes a CDS view directly consumable as a query in SAP Analytics tools.
Implementing advanced analytics with CDS views in SAP-HANA-Live environments unlocks real-time, actionable insights on live transactional data. By leveraging the powerful modeling capabilities and in-memory processing of SAP HANA, organizations can build scalable, secure, and sophisticated analytical solutions that drive business value.
Mastering CDS-based advanced analytics empowers SAP professionals to deliver next-generation reporting and analytical applications that transform data into strategic assets.