Big Data and SAP S/4 HANA

Companies are using data and analytics to inform business strategy and create new business models that fuel growth. SAP S/4 HANA solution helps those companies gain a clearer view of their business and forge a clearer path to proficiency. We understand the toughest business challenges and apply proven solutions to shorten the distance between data and insight.

Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics capabilities and skills.

SAP S/4 HANA offers all the impressive performance you would expect from a modern in-memory database. Due to substantially quicker access times, in-memory databases lend themselves to the needs of big data environments. Add that to the ability to process data streams and generate real-time business insights, and you start to see its advantages.

A powerful combination

SAP S/4 HANA in-memory database solution is purpose-built for analytics speed and performance, this makes it an ideal vehicle for process-intensive applications such as big data.
Hadoop finds itself in a similar role, though with a distinctly different purpose. Created as an open-source framework, it focuses on distributed processing with the help of self-orchestrated computer clusters.

This framework also lends itself to big data environments, due in no small part to distributed nodes that can be scaled to sufficiently handle enormous data growth.

When you combine the unique strengths of these two solutions, you end up with a product that is more useful than the sum of its parts. Such an implementation often provides the means for enterprises to tackle large data sets provided by the Internet of Things.

In this setup, SAP S/4 HANA acts as a data supervisor that delegates data operations between in-memory SAP S/4 HANA instances and Hadoop clusters. The benefits to this approach are the ability to prioritize big data analytic targets. Rather than bogging down high-performance SAP S/4 HANA systems with less-critical data, these loads can be intelligently pushed off to readily available Hadoop nodes. In doing so, priority analytics gets the boost of in-memory processing while less-critical data can still be analyzed efficiently.

While tiered systems like this are nothing new, the use of SAP S/4 HANA with Hadoop holds untapped potential. If you find your environment struggling to keep up with an influx of big data, this partnership may be just what the doctor ordered.

ASAP4hana and its partners can support your in designing a efficient solution to fulfill you needs.

Contact ASAP4hana for more details.