The SAP HANA Data Warehousing Foundation product provides specific data management tools to support (large scale) HANA SQL Data Warehouse use cases.

The SAP HANA Data Warehousing Foundation (DWF) product provides the following tools & solutions:

Data Distribution Optimizer (DOO)  – XS-Classic

The Data Distribution Optimizer (DDO) provides the capability to plan (simulate), adjust and analyze landscape reorganizations for SAP HANA scale out systems (BW4/HANA, BWonHANA, HANA SQL DW, Data Mart, S/4HANA)

• Data Distribution Optimization for SAP HANA in Scale-Out System Configurations

SAP HANA Academy DWF Channel: 

Data Lifecycle Manager (DLM) – XS-Classic

The Data Lifecycle Manager (DLM) provides the capability to archive / displace data from a SAP HANA persistency to Multi-Store Table, HANA Extension Node, Dynamic Tiering, SAP IQ, Hadoop or SAP Vora** (**restricted shipment with DWF 2.0 SP02 – XSA)

• Data Lifecycle Management and Data Aging Concepts for SAP HANA
• Data Lifecycle Management and Data Aging Concepts for SAP HANA using SAP IQ – Recording

• HBD300 – Data Lifecycle Management and Data Aging Concepts for SAP HANA, 2017 Las Vegas

SAP HANA Academy DWF Channel:

Data Lifecycle Manager (DLM) – XS-Advanced

The Data Lifecycle Manager (DLM) for XSA provides the capability to archive / displace data from a SAP HANA persistency to Hadoop or SAP Vora** (**restricted shipment with DWF 2.0 SP02 – XSA)

• Data Warehousing and Data Lifecycle Manager 2.0 SP02: Integration with SAP Vora 2.0
• Data Warehousing and Data Lifecycle Manager 2.0 SP02: Integration with SAP Vora 2.0 – Recording

Native Datastore Object (NDSO) – XS-Advanced

The Data Warehousing Foundation (DWF) native DataStore Object (NDSO) has been established as the central persistency object to model HANA SQL Data Warehouse systems

The NDSO is integrated with

• SAP Web IDE for SAP HANA (XSA) for Modeling, Implementation & Administration, Enterprise Architecture Designer (EAD) for Modeling
• HANA SDI Flowgraph for NDSO Data Load
• Data Warehousing Foundation (DWF) Task Chain and Data Warehouse Monitor (DWS) to execute and monitor the NDSO Data Load and Data Activation tasks

The NDSO allows merging of delta data and full data loads into its reportable content and also provides delta-data processing capabilities to connected data targets

The NDSO data merge process is triggered by the Data Activation task

The NDSO is capable to process records based on the Source-data specified RECORDMODE values (like: INSERT / UPDATE / DELETE – aka. CDC)

Simplyfied Flowgraph design

• No need to design specific INSERT / UPDATE / DELETE handling within the flowgraph, as the NDSO manages the individual data processing based on the RECORDMODE values

The NDSO is capable to rollback/delete previous loaded and activated data-sets

• HANA SQL DW: native DataStore Object (NDSO) to simply Flowgraph Design
• HANA SQL DW: native DataStore Object (NDSO) to simply Flowgraph Design – Recording

Data Warehousing Scheduler (DWS) – XS-Advanced

The Data Warehouse Scheduler (DWS) is capable to maintain dependencies between single tasks with the focus to provision data warehouse models supported task types (HANA SDI Flowgraph+ NDSO Data Activation) and Data Tiering supported tasks (HANA Procedures).

Data Warehousing Monitor (DWM) – XS-Advanced

The Data Warehouse Monitor provides the capability to schedule and monitor the execution of Task Chains in the data warehouse

HANA SQL Data Warehouse – XS-Advanced

• Build and Run an SQL Data Warehouse on SAP HANA
• Modeling the Data Warehouse with SAP Enterprise Architecture Designer (EAD) – Recording
• Clone, Edit and Build the Data Warehouse Artefacts using SAP Web IDE for SAP HANA – Recording
• Leverage the Data Warehousing Monitor to execute an monitor the Task Chain – Recording

• HBD303 – Build and Run an SQL Data Warehouse on SAP HANA, 2017 Las Vegas

DWF SAP SDN Page:

https://scn.sap.com/docs/DOC-62482

DWF SAP Help Page:

https://help.sap.com/hana_options_dwf