SAP HANA Data Provisioning

Key characteristics and aspects of SAP HANA Data Provisioning include:

1. SAP Landscape Transformation (SLT):

   • Configuring trigger-based real-time data replication from SAP ERP sources to HANA.

2. Smart Data Integration (SDI):

   • Deploying DP Agents, adapters, flowgraphs, and virtual tables for batch and real-time streaming ETL.

3. Smart Data Access (SDA):

   • Querying remote databases (Oracle, SQL Server, Hadoop) in real time without physically moving data.

4. SAP Data Services (BODS):

   • Building robust batch extraction, transformation, and data quality pipelines for HANA target tables.

SAP HANA Data Provisioning ensures real-time data availability and seamless enterprise application integration.

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

1. Database & SQL Basics:

   • Basic understanding of database tables, primary keys, SQL queries, and data types.

2. ETL Concepts:

   • Familiarity with Extract, Transform, Load (ETL) principles, data mapping, and batch processing.

Our course covers provisioning method selection and configuration step-by-step with practical hands-on exercises.

Learning SAP HANA Data Provisioning provides you with an industry-forward skill set in data integration architecture:

1. SLT Server Configuration:

   • Setting up LTRC/LTRS replication configurations, table filters, and transformation rules.

2. SDI & Flowgraph Engineering:

   • Installing DP Agents, configuring adapters, creating virtual tables, and designing ETL flowgraphs.

3. Virtual Data Federation Setup:

   • Building Smart Data Access remote sources and optimizing cross-database federated queries.

By mastering these competencies, you become a specialized SAP Data Integration Consultant capable of building real-time data pipelines.