Subject: SAP-HANA-Live | Field: SAP
SAP HANA (High-performance Analytic Appliance) has revolutionized how organizations manage, process, and analyze data in real-time. At the heart of this system lies the concept of data provisioning — a critical component ensuring that relevant data from diverse sources is available in SAP HANA for immediate analytics and reporting. Within the SAP-HANA-Live framework, efficient data provisioning is essential to enable real-time insights through pre-delivered content and virtual data models (VDMs).
Data provisioning refers to the process of supplying data from various sources into the SAP HANA database. This is essential for operational reporting, business analytics, and transactional processing. In the context of SAP-HANA-Live, it ensures the availability of accurate and timely data to support business users' needs using predefined views and models.
SAP HANA supports several data provisioning techniques, each designed to handle specific use cases. The primary methods include:
These tools move data in batch mode from source systems to HANA.
Used for scenarios requiring minimal latency.
Allows HANA to access remote data sources virtually without physically moving data.
Captures streaming data such as sensor data, financial market feeds, etc., in real-time.
SAP-HANA-Live is a solution that provides real-time operational reporting on top of SAP Business Suite on HANA. It leverages ready-to-use virtual data models (VDMs) built directly in HANA.
For these VDMs to function effectively, underlying transactional data must be accessible in HANA — this is where data provisioning plays a vital role:
Data provisioning is a foundational process in the SAP HANA ecosystem, enabling real-time access to business-critical data. Within SAP-HANA-Live, it underpins the efficiency of virtual data models and operational reporting. By choosing the right provisioning methods and adhering to best practices, organizations can fully leverage the power of SAP HANA for real-time insights and competitive advantage.