Traditional data processing methods still useful, as SAP BW/4HANA approach shows
“Debate has arisen over whether SAP S/4HANA customers—benefiting from the SAP HANA translytical database to run their next generation ERP—would still require data warehousing or whether the dominance of Big Data would finally overwhelm the capability of traditional processing methods to cope with the vast amounts of data which are now generated on a daily basis”.
An SAP Blog article attempts an answer to this question, in times when data is seen as the “most valuable resource” in the world. The bottom line is that data warehousing simply entered a new age, respectively turned into Big Data warehousing, with SAP S/4 HANA stepping into its upgraded role in a natural manner.
The article introduces SAP BW/4HANA, a natural extension to SAP s/4 HANA and “core to SAP’s analytics strategy for end-to-end business intelligence and analytics, including data warehousing”.
What does SAP BW/4 HANA bring to the table?
It better equips the organizations for steering excellence, by delivering the insights needed for all data-based modern business operations, from decision-making, to new relationships with the partners.
The excellence mentioned above counts on strategic data insights, the type which can only be obtained in the massive context of Big Data lakes, where ML and predictive analytics can work their magic.
Serves in mitigating risks, by allowing organizations to manage analytics processing outside of SAP S/4HANA, thus protecting the SAP S/4HANA roll out project.
Within the data management realm, the author of the source article reassures the users that “data warehousing remains the most effective way to process vast amounts of complex data in order to provision timely and trusted insights”, and that the SAP BW/4HANA’s next generation data warehousing platform enables a “smoother transition to the intelligent enterprise”.
To find out more and perhaps decipher things that we’ve might have missed, access the SAP blog post here.
Also, check here an overview and key considerations about the way it leverages the capabilities of native SAP HANA on large datasets.