Data Warehousing in SAP HANA – Components, Methods, Working & Benefits
Many reasons make SAP HANA and Data Warehousing go hand-in-hand. However, to understand those reasons and their implantation, one needs to understand their specifics, including why they are joint so well together. Data Warehouses and SAP HANA are well acquainted. It is not new to the universe of business insight; yet, they are a basic piece of SAP HANA’s design and calculated structure.
However, to understand their working together, it is important to dive into intricacies and understand their specific offerings. Then, it can help one comprehend truly what it takes to adjoin the two of these together.
What Is SAP HANA?
SAP HANA (high-performance analytical appliance) as a method of implementation that enables and eases the process of converting massive quantities of data in a short amount of time. It utilizes ongoing information preparing/processing which brings information legitimately from the in-memory (fundamental memory) accelerating the information recovery activities. SAP Hana is an in-memory database that specializes in incorporating different segments, which makes it a total bundle or suite for a brought together ERP framework, and developing business applications. SAP HANA is an apparatus, which includes an in-memory HANA database, information displaying instruments, information provisioning and HANA organization.
What Is A Data Warehouse?
A Data Warehouse system is a framework that arranges information from a wide range of sources inside an association. The reports made from complex questions inside an information distribution centre. Then they are presented to the organization for analysing and reporting, which then converts into making business decisions. In increasingly far-reaching terms, it is a distribution centre that offers a united perspective on either a physical or intelligent information vault gathered from different frameworks. The primary job of a Data Warehouse is to give a connection between information from existing frameworks. Data Warehouse’ Information stockrooms are utilized for online logical preparing, which is Online Analytical Processing (OLAP) that utilizes complex questions to examine the possibilities.
Main Components Of A Data Warehouse Design
Data Warehouse architecture based on SAP HANA technique comprises of four main ingredients, which are as follow:
- Primary Data source
- ETL Processing Staging Zone
- Presentation Data Access Part
- Data Types In The Warehouse
What do they do? The primary data sources are comprised of ERP (Enterprise Resource Planning and CRM (Customer Relationship Management). The purpose of ETL Processing is to provide a staging area to the vital data gathered from diverse sources of data. In initial stages, ETL abstracts information of importance from the primary data source and then neatens it up according to requirement. Data warehouse itself, however, comprises of metadata which is information regarding relevant data. It helps summarize the matters of importance and present it for analysis and study. In the final stages, the data is presented with the help of presentation data access and its employers can benefit by configuring it with OLAP.
Important Designing Methods
At this point, you have the necessary materials. However, before diving into analysis, you need to create working models to analyse the data at hand. It will become a framework and a process cycle for future instances.
- Kimball’s method uses the bottom-up strategy
- Inmon’s method uses the top-down method
- The hybrid method is a compilation of the two
Functionality Of SAP HANA Data Warehousing
SAP HANA has an information stockroom arrangement known as SAP BW/4HANA. NetWeaver based ABAP platform is the primary fuel or driving force behind this warehousing solution. It is a model-based arrangement where a client plans an information distribution centre model and information stream based on which the information recovers from the first information source. All in all, data warehousing works in a very corresponding fashion to that of SAP HANA.
Main Benefits Of SAP HANA Data Warehousing
Two of the primary benefits of SAP HANA based modern data warehouse design are as follow:
- Allows you to conduct real-time yet high-volume data processing without any hassle.
- It eases the process of application development by pinpointing the requirements.
It was not too long ago that conducting information of this magnitude would take months on end. However, with the help of tools and methods such as Data Warehousing and SAP HANA, these processes have been made easier for us.