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Traditionally, the idea of data warehousing was defined by massive servers to store business data that the company could access when it needed on its local intranet. The paradigm for data is changing and with it companies must also adapt to the changing needs of their business models. Data can now come from a number of different sources and Big Data makes up a massive part of the potential incoming streams of data. It’s obvious that the current methods of data storage will be quickly overwhelmed by the sheer volume of data that IoT devices generate so companies looking into implementing IoT technologies have another concern when it comes to their data warehousing. SAP offers a couple options of dealing with data warehousing, such as BW/4Hana and SAP Data Hub, but both may require a bit of flexibility on the part of the company adopting them when it comes to their data management protocol.

Understanding the Mechanics of BW/4Hana

In years past, SAP has introduced their BW Warehouse Data solution which many companies have adopted and developed around to a certain level of stability. BW/4Hana has taken a step forward by removing itself from the NetWeaver architecture and builds off of an existing Hana database instead. Due to this, it had limited its functionality to dealing with Advanced Data Store Objects (aDSO’s) and CompositeProviders, among a few other data structures supported by Hana. SAP BW/4Hana provides a new look at storage as well as supporting SAP Data Hub in equilibrium with each other, allowing a company the freedom to choose which system suits their needs better and which they are more comfortable using.

The SAP Data Hub – Storage with a New Twist

The SAP Data Hub serves to provide a solution that caters to the needs of a company that needs a responsive storage system that can actively be used with an ERP or other agile applications. The Data Hub attempts to provide real-time transfer of data between multiple systems, applications and databases, utilizing the idea of a data pipeline in order to direct and streamline that data transfer. Additionally, the SAP Data Hub makes it easy to integrate machine learning into data processing and analysis code in order to ‘teach” the system things of interest that should be highlighted.

Adapting to New Storage Paradigms

Both of these systems presented here, BW/4Hana and the SAP Data Hub, serve as ways to move away from traditional storage. They both offer a lot of flexibility alongside each other and companies can choose to implement either one or even both Each system provides for ease of integration between them, and the ability to pass standardized data between storage systems is not only unique but revolutionary. While it is understood that a data storage hierarchy should be established, this sort of thinking doesn’t take into account the near future, where applications will depend upon agile storage systems and seamless integration of data – a feature which both BW/4Hana and SAP Data Hub demonstrate.

A New Data Architecture Paradigm for the Future

The fact remains that as companies move towards more of these data-driven development standards, and the demand for fast and unencumbered data transfer, companies need to adapt their internal data strategy to move with the times. Enterprises must redefine their internal culture regarding data and see the bigger picture – that of a massive data “warehouse” that their applications and databases can pull from if needed.

In this grand scheme of things BW/4Hana or SAP Data Hub may be a major part of the operation, possibly in tandem since both solutions are fully integrable with each other. Alternatives may even include inclusion of completely new data paradigms in place that are specifically designed to fit the data culture of a particular company. There is no simple way to become a data-driven enterprise, but the effort involved in doing so is worth the time, effort, and patience.

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