Today, it is almost impossible to separate the vision of SAP from HANA, computing platform as well as in-memory database. Every company has an aim to function the core solutions over HANA, whereas also migrating clients in order to utilize it as an application, innovation and cloud hosting platform.
SAP HANA is an interactive database management system that carries a unique feature of column-oriented management and in-memory data storage that was developed and marketed through SAP SE. The major function of SAP HANA system as database server is retrieving and storing data requested via application.
On the contrary, SAP HANA achieve advanced analytic operations like text analysis, streaming analysis, spatial data analysis, predictive analytical data, graph data analysis as well as caters as application server along with ETL abilities.
The factor that differentiates HANA from earlier generations of SAP systems is column-oriented and in-memory database that sums Online Analytical Programming System (OLAP) as well as Online Transaction Processing System (OLTP) in single system, hence SAP HANA is OLTAP system.
The data storage in the main memory on disk offers fast data access that helps in instant processing and querying that in return is much advantageous; however, expensive data storage form.
After analyzing the patterns of data access, it has been observed that around 85 percent of the data within enterprise system might not be utilized and accessed often, so it can be cost-effective in order to store the remaining 15% data in-memory as well as less accessed data on the disk that is approach to which SAP have named as dynamic tiering.
The SAP HANA Cloud tracks the column-oriented system instead of row-oriented systems that make storing the single column data at a one place instead of storing the single row data at one place. It is a quite useful technique in OLTP, where the vertical compression makes huge amount of similar data storing as common in the operation management of megastores and Walmart. The SAP HANA system is much grounded in terms of understanding the trends as well as preparing the query makes inserting the daily data easy.
However, the row-oriented system is preferred traditionally for the OLTP systems, while in-memory storage helps in making the hybrid systems for OLTP and OLAP; thus, developing the system where there is a different need of the system in order to maintain OLAP and OLTP operations.
The SAP HANA flagship program is S/4 HANA. The S/4 HANA speed helps in achieving maximum advantage with the data, for example, finance team could run various jobs with no need to wait till the time first complete. It permits users to experience the best performance as time-driven and complex business like real-time planning, reporting, execution, and different analytics of the live data as well as instant period closing. Customer-centric application is the major benefit.
2. Optimal Data Management
The monitoring cost of operation could be greatly minimized utilizing SAP HANA. It helps in preventing the data delays that could bring question to the data reliability of organization. With business tools of SAP HANA, a company can report from the ERP databases. The SAP HANA helps in making instant decisions via enhanced visibility through SAP HANA Live help organizations. Generally, users could create as needed queries in order to extract the data, which is necessary as well as limited for database users, who don’t use HANA.
SAP Fiori that is backed by SAP HANA drives the user interface and it is a user-friendly version of the business data and insight in real-time on any of the device bringing business advantage anywhere and anytime. It is used to improve the productivity.
One of the commodities of SAP is SAP HANA that drives the cloud adoption via businesses through cloud modeling. Cloud provides platform for various software vendors in order to offer excellent products that extend and sum up the HANA ability. This decision is difficult to make in between the outdated SAP ERP solutions as the SAP is ground of doing the business in critical and fundamentally challenging environment nowadays.
Although, for existing SAP customers, migrating to HANA is an expensive and complex endeavor. There are various considerations that must be taken in mind while making the migration decision, including –
– SAP does not wish to run the enterprise apps, they just want to store the database spend – It has sited itself in order to displace the Oracle and Sybase database technologies in a few customer environments. This opened door to the revenues for hosting and application development and data access.
It is necessary for customers in order to consider the data would be locked in the SAP footprint and the indirect access fees would be applied to applications or third-party systems in order to access the information. Therefore, the customers, who want to shift to HANA must be aware of the additional maintenance and license costs.
– Moving to S4 would have noteworthy cost implications – In the year 2015, SAP made an announcement of S4 Business Suite that is first customer release ever since R/3. Clienteles that are upgrading to the S4 require SAP to clear do they need to pay the license fee. The customers, currently on the maintenance are permitted for free application upgradation; however it does not cover runtime file charge. It has a big impact over the SAP spend of client as runtime fee would be applicable to the future purchases.
Additionally, it is essential to consider additional software, hardware as well as maintenance costs related with S4. It include the costs linked with building interfaces or exporting data to HANA. Business must have clear scenario of how much this would cost in order to migrate the database as well as to re-train the database administrators over HANA platform.
Overall, it is imperative that you must consider all indirect costs, such as additional maintenance, hardware and software costs prior shifting to HANA. Modeling out the costs is quite necessary as the data volumes must grow with the time. HANA transition is not easy and fast. A lengthy data view is the primary step to keep a check over costs.