How SAP HANA combines In-Memory Computing

For all SAP users, the newly found in-memory computing tool called SAP HANA is a promising technology that promisesto deliver a change in data analysis and processing.

Advanced technology, improved network and connectivity, and increasing regulatory requires indication that organizations are now dealing with a greater amount of data, usually varied than before.

As such, more users now consider big data, whilst they are also looking for options to utilize relevant information collected to improve business operations. Nonetheless, with increased data volume, organizations are also demanding different ways to process the massive amount of data in due time.

SAP HANA training enables users to develop interesting concepts. For SAP developers, an in-memory computing tool like SAP HANA has great prospects in delivering a cutting edge over data processing and data analysis. In addition, with the recent announcements from SAP, regarding the upcoming availability of Business Suite on SAP HANA, it is likely that in-memory technology might go mainstream for several organizations.

Data processing speed is one of the main benefits of the concept of in-memory computing. Organizations would no longer need access to information stored within the data warehouse. Rather, transactional data can be stored in the memory – which means, analytics can easily be carried out in real-time.

SAP HANA architecture also accelerates the routine reporting features and functions like the ability to run end-of-period reports within a few seconds, rather than pulling information right from the database with several run hour batches.

Speed Not The Primary Factor

With SAP HANA, speed isn’t always the primary factor. Even processing power may not be the greatest benefit for most organizations using this technology. However, the in-memory SAP HANA architecture promises to generate data views on the fly, which is definitely a major advantage. It not only reduce database footprints and storage needs, but can also potentially simplify the process of modeling and data usage.

There are many organizations that don’t have a massive amount of data to be crunched quickly. Some organizations may only want to ensure that the right data is shared with the right person at the right time. In such cases, in-memory computing ensures that users can properly investigate complete data sets instead of the representative sample. Ultimately, by having a clear picture of all transactional data, businesses and organizations can certainly make better business plans and decisions.

SAP HANA enabled Business Suite can be very attractive for smaller organizations. Till date, most organizations have done very little work using the analytical capability of this technology because it leads to further investment. However, today, with the concept of HANA, organizations can actually do the same thing within enterprise resource planning transactional system rather than exporting data into different business warehouses and constantly worrying about how to implement analytics capability.

Know Your Options

With the consistent increase in big data, it’s obvious and inevitable that most organizations might start adopting in-memory computing in one form or the other to function properly.

For some sectors like utilities, public sector, and finance that are already generating a huge volume of data, in-memory computing can’t come really quick. For the rest, this choice isn’t really straightforward, as organizations may not even feel that they have a great need to rationalize the cost of implementing in-memory computation.

Regardless of nature, type and size of an organization, with the latest technologies there’s always a possibility of hand-holding. When it comes to SAP HANA training, there’s no match at all. Having said that, organizations should start taking advantage of various sources of data and information provided by user groups and SAP, to enable proper decision making. Whether they decide to implement or not, organizations should make sure that they make a well-informed choice on the latest SAP HANA in-memory computing.