Analyze SAP S/4HANA On-Premises Data using SAP Analytics Cloud Powered by SAP Data Warehouse Cloud

This simple blog post helps you get an understanding of how data from an SAP S/4HANA on-premises system can be Analysed using SAP Analytics Cloud which is connected using Data Warehouse Cloud in SAP Business Technology Platform (BTP).

This blog post covers –

◉ Connectivity of SAP S/4HANA On-premise system to SAP Data Warehouse Cloud.

◉ Creation of a View using SAP Data Warehouse Cloud Data Builder.

◉ Consume the View in SAP Analytics Cloud and create a story.

Jupyter Notebook and SAP HANA: Persisting DataFrames in SAP HANA

Introduction

Jupyter Notebook or R are often the tools of choice for data scientists. It makes using data operations, data exploration and sharing convenient. SAP HANA is the database of choice for the most important businesses around the globe. Connecting both worlds, Jupyter Notebook and SAP HANA provides an incredible potential which needs to be seized.

SAP HANA

Jürgen Müller already provided a great blogpost about SAP HANA. I want to shortly formulate what SAP HANA is also with my own words. SAP HANA is an in-memory database which provides a lot of benefits, especially for analytical use cases. It connects different aspects of databases within one database. Besides typical properties of relational databases, it also delivers properties of NoSQL databases, like column-based databases. Depending on use-case, it is possible to activate or deactivate specific properties so that you can get the best performance out of your system.

SAP & Dell Technologies – Transforming Data at the Edge, Cloud & Core

Organizations understand that, to thrive in the digital economy, they must derive better insights from the data they own — and do it in a more automated, reliable way. The faster this process, the faster the time to insights.