Final answer:
The sentence refers to the data provisioning process, where one selects source metadata and imports it, along with its data, into SAP HANA. Methods like SAP HANA smart data integration or smart data access are commonly used in this process. Understanding the challenges associated with data consistency and quality is also important.
Step-by-step explanation:
“_________ involves selecting source metadata and importing its metadata and data into SAP HANA” refers to the process of data provisioning. Data provisioning in the context of SAP HANA involves transferring data from various sources into the SAP HANA database. This is accomplished by various techniques and technologies, according to the requirements and sources of the data. A common method to perform this action is to use SAP HANA smart data integration (SDI) or SAP HANA smart data access (SDA).
During the data provisioning process, one would typically select source metadata, which describes the structure, formatting, and semantics of the data. Afterward, this metadata along with the actual data is imported into SAP HANA. For structured data, this could mean transferring data from traditional databases or even ERP systems. For unstructured data, different methods and technologies might be necessary.
It's important for those involved in the import process to not only understand how to technically carry out the task but to also recognize the potential challenges associated with data consistency, data quality, and integration with existing data within SAP HANA.