SAP HANA Smart Data Access

Key characteristics and aspects of SAP HANA Smart Data Access include:

1. Remote Source Configurations:

   • Configuring ODBC drivers and creating remote source definitions in SAP HANA Studio/Cockpit.

2. Virtual Table Management:

   • Creating virtual tables that act as local proxies for heterogeneous external database tables.

3. Query Pushdown Optimization:

   • Automatically delegating SQL WHERE clauses, joins, and aggregations to the remote database engine.

4. Federated Modeling:

   • Combining local SAP HANA Calculation Views with external Virtual Tables in single reporting models.

SAP HANA SDA eliminates data duplication, lowers storage requirements, and provides a unified view of enterprise data.

Before diving into learning SAP HANA Smart Data Access, it's highly beneficial to have basic familiarity with foundational SAP modules. Here are the recommended skills:

1. SAP HANA Modeling Basics:

   • Understanding SAP HANA calculation views, schemas, and SQL queries.

2. ODBC & Database Connectivity:

   • Basic understanding of database drivers, connection strings, and remote query execution.

Our course guides you step-by-step through remote source creation, virtual table setup, and query optimization.

Learning SAP HANA Smart Data Access provides you with an industry-forward skill set in data virtualization:

1. Remote Source Architecture Setup:

   • Installing database drivers, configuring unixODBC, and establishing secure remote connections.

2. Virtual Table Modeling:

   • Creating virtual tables, managing HDI synonyms, and integrating virtual nodes into Calculation Views.

3. Federated Query Tuning:

   • Analyzing execution plans for virtual tables and enforcing query pushdown rules.

By mastering these competencies, you become a specialized Data Architect capable of building high-performance virtualized reporting landscapes.