The advanced DataStore Object (aDSO) is the primary physical storage container in SAP BW/4HANA 2.0. It replaces legacy InfoCubes, DataStore Objects (DSOs), and Write-Optimized DSOs.
Design warm and cold data storage policies before memory consumption spikes, protecting your hardware budget.
Managing storage costs is critical when running an in-memory database. BW/4HANA 2.0 automates data management using Data Lifecycle Manager (DLM) through three tiers:
This approach updates your existing system step-by-step. Using the SAP BW/4HANA Transfer Cockpit, administrators convert legacy objects (like InfoCubes) into modern equivalents (like aDSOs) within the current environment before applying the system software upgrade. Remote Conversion sap bw 4hana 2.0 the comprehensive guide pdf
Tools to analyze memory footprints and configure data tiering.
Whether you find the PDF or build your own curated documentation set, focus on these three immediate actions:
Key changes include:
Automatically distributes data across Hot (memory), Warm (extending node), and Cold (data lake/external storage) tiers based on data age and access frequency.
Look for books like " SAP BW/4HANA: An Introduction " or "Data Modeling with SAP BW/4HANA."
A centralized, web-based Fiori interface used for administration, monitoring, and scheduling process chains. The advanced DataStore Object (aDSO) is the primary
The transition from 1.0 to 2.0 brings a host of new features that enhance usability, performance, and openness. Key improvements highlighted by experts include:
Organizations wanting a fresh start with data ingestion while keeping verified model blueprints. 5. Hybrid Data Warehousing: BW/4HANA and SAP Datasphere
Remote conversion builds a net-new SAP BW/4HANA 2.0 environment alongside your legacy system. Managing storage costs is critical when running an
Historical data stored externally in a data lake or Hadoop cluster, accessible virtually when needed. Data Integration and Modern Ingestion