Machine Learning with SAP HANA

AI and machine learning are the hottest trends in the current IT market. Everyone is talking about it and customers are adopting these technologies in day to day processes. Because of this, there is a need to have systems that will enable the processes to be scaled, governed and compliant to current business needs.

As part of digital transformation efforts, customers currently running SAP ERP applications are implementing innovative solutions to enhance operations. These innovative solutions range from RPA-robotic process automation, machine learning and enhanced analytics leading to an intelligent ERP aka iERP.

Introducing the NDSO: Part Three – Integrating a NDSO with SAP BW/4HANA

Motivation

As already mentioned in the first blog. SAP supports the application driven approach and the native, SQL driven approach to Enterprise Data Warehousing and offers corresponding applications and tools in its portfolio. Especially for customers using SAP BW/4HANA there is of course always the option to implement parts of certain scenarios natively on the SAP HANA database and use capabilities the SAP HANA platform provides in the context of EDW. In those ‘mixed scenarios’ integration is key so – here we go with blog three and take a closer look on how to integrate the NDSO (and its data) in mixed scenarios with SAP BW/4HANA.

Processing XML data in SAP HANA

New capabilities in SAP HANA are introduced with every SP. One such important one is the ability to process XML data which has been introduced with SAP HANA 2.0 SPS1 and SPS2.

XML is in common use for interchange of data over the Internet. Thus, applications require data in xml format for communication with other entities. With the data stored in the RDMS, as SAP HANA, in relational mode as tables, the application layer requires to process the data and render in the format which could be used for communication. Similarly, when the data reaches the application layer, it needs to again process this data, but now to be able to store in the database as tables (format understood by the RDBMS).

Bridging two worlds : Integration of SAP and Hadoop Ecosystems

Proliferation of web applications, social media and internet-of-things coupled with large-scale digitalization of business processes has lead to an explosive growth in generation of raw data. Enterprises across the industries are starting to recognize every form of data as a strategic asset and increasingly leveraging it for complex data driven business decisions. Big Data solutions are being used to realize enterprise ‘data lakes’, storing processed or raw data from all available sources and powering a variety of applications/use-cases.

LEARN WITH US : S/4HANA Analytics!!

What it is?

S/4 HANA stands for Simple 4th Generation Business suite solutions from SAP which will run on SAP HANA. SAP HANA is one of the preferred product among the companies seeking for an optimized enterprise solution because the product has come a long way from its previous predecessors which had its transaction processing and analytical processing in different platforms, that meant more time on data output and decision making.

It is very well known as The Next Generation Business Suite and it is greatest innovation since R3 and ERP from the SAP world. It unites the software and people to build businesses to run on real-time, networked and in simple way. It has got built-in analytics for hybrid transactional and analytical applications.

Increasing the SAP-NLS Performance

Increasing the SAP-NLS Performance

With the Introduction of smart data access (SDA) especially between SAP HANA and IQ, the data provisioning process can be optimized. Never the less, some additional Parameters have to be introduced on the ABAP and HANA Backend as well.

SAP HANA: Exploring data using SAP Visual Intelligence

SAP Visual Intelligence is SAP’s latest innovation in the SAP BusinessObjects Explorer solution family. It is a desktop-based visualization and data manipulation solution that allows business users to acquire data from a variety of corporate and personal data sources and manipulate without any scripting.
They can then analyze this data, with beautiful visualizations, quickly discovering unique insight that can be easily shared, shaping the business faster than ever before. -- As mentioned by SAP

Let us see what SAP says that we can do with SAP HANA using SAP Visual Intelligence: