SAP HANA 2.0 Data Warehousing Foundation SP 05 released to Customer. SAP Note
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SAP HANA Data Warehousing Foundation

SAP HANA data warehousing foundation (DWF) enable efficient data management and distribution across complex SAP HANA landscapes. Customers can optimize the memory footprint of data and streamline administration and development, thereby reducing TCO and at the same time supporting SAP HANA administrators and data warehouse designers.

Featured Content

SAP HANA Data Warehouse Foundation overview

SAP HANA data warehousing foundation (DWF) delivers specialized SAP HANA based applications.

Learn more

What's New in SAP HANA 2.0 DWF

This guide provides information about what’s new and what has changed since the last release.

Release Note SAP HANAWhat’s New in SAP HANA DWF SP 04 & SP 05

Influence SAP HANA DWF 2.x development

We offer a range of free programs that give the opportunity to influence SAP HANA Data Warehousing Foundation software development decisions and adopt new innovations early on

Customer Influence page

Future Direction

SAP provides a comprehensive offering for data warehousing on premises as well as in the cloud. These approaches are tightly integrated and can be combined flexibly. Extend your on-premises system into the cloud with hybrid scenarios and implement new cloud-native use cases.

SAP Data Warehouse Cloud

Expert Content

SAP HANA Data Warehousing Foundation: First Guidance

This First Guidance Document is the beginning of a series of documents that should help to better understand the various concepts of SAP HANA Data Warehousing Foundation approach:

SAP SQL Data Warehouse TrialInstallation Guide XS-AdvancedFirst Guidance DocumentAdd DWF to existing projects

SAP HANA Data Warehousing Foundation: Architecture Concept

The architecture concept for SAP HANA data warehousing foundation provide deep-dive insights in the product

High Level DWF Architecture

Data Movement with SAP DWF Data Lifecycle Manager

The objective of the Data Lifecycle Manager optimizes the memory footprint of data in SAP HANA tables by relocating data.

Data Aging capabilities in SAP HANA DWFIntegration SAP HANA and Hadoop

Native DataStore Object

The objective of the Native DataStore Object (NDSO) is to provide a central persistence object.

Native DataStore Object: Use Cases and capabilities (SP04)NDSO Administration GuideLearn about EAD and NDSO capabilities