Summary
Well, we covered quite a lot in this chapter. As this is the first chapter of “data to value,” we started this chapter by discussing typical data-driven use cases and data architecture patterns to support various use cases.
The key element of this chapter was SAP HANA Cloud. We first introduced the different components of SAP HANA Cloud, its server types, and tools to access and work with HANA Cloud. Then, we focused on different development scenarios, from using HANA Cloud as the database runtime, modeling with Calculation Views, and—more importantly—native development, especially with the HDI. We briefly discussed SAP HANA Cloud Data Lake as a built-in extension of HANA database for large- volume data processing.
In the next chapter, we will look at other products as part of the data-to-value offerings, especially SAP Data Warehouse Cloud and SAP Analytics Cloud.
