SAP HANA Data Provisioning

Categories: SAP, Technologies
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About Course

SAP HANA Data Provisioning is a critical process that ensures timely and accurate data availability in SAP HANA by integrating data from diverse sources. With SAP HANA’s ability to handle real-time and batch data, effective data provisioning enables organizations to perform advanced analytics and make data-driven decisions seamlessly.

This course is designed to provide an in-depth understanding of the various data provisioning methods available in SAP HANA, enabling professionals to extract, transform, and load (ETL) data efficiently. From real-time replication to smart data integration, this course equips you with the tools and techniques needed to set up and manage data provisioning pipelines effectively.

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What Will You Learn?

  • Overview of Data Provisioning: Understand the importance of data provisioning and the role it plays in the SAP HANA ecosystem.
  • Data Provisioning Tools: Explore key tools like SLT (SAP Landscape Transformation), SDA (Smart Data Access), SDI (Smart Data Integration), and BODS (SAP BusinessObjects Data Services).
  • Real-Time Data Replication: Learn to set up and configure SLT for replicating data from SAP and non-SAP sources in real time.
  • Batch Data Provisioning: Understand how to provision data using tools like BODS and File Uploads for batch processing.
  • Smart Data Access (SDA): Integrate remote data sources and enable real-time data virtualization.
  • Smart Data Integration (SDI): Learn to connect, transform, and replicate data from diverse sources.
  • Performance Optimization: Implement best practices for improving data replication and integration performance.
  • Error Handling & Monitoring: Develop troubleshooting skills to resolve data provisioning issues and monitor jobs effectively.

Course Content

Sessions

  • Session 1
    01:11:22
  • Session 2
    48:35
  • Session 3
    45:53
  • Session 4
    47:55
  • Session 5
    54:14
  • Session 6
    38:54
  • Session 7
    01:03:20
  • Session 8
    53:16
  • Session 9
    34:04
  • Session 10
    44:47

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