SAP HANA can be an in-memory computing engine (IMCE) used for real-time handling of huge volumes of data and building and deploying real-world applications. Adopting the row-based and column-based DB technology, SAP HANA can be an advanced relational DB product serviced by SAP SE. With this high-performance analytic (HANA) system, the best data is present on the primary memory and not on the hard disk drive.

It replaces the onus of data maintenance individually on the legacy system and simplifies the tasks of administrators in this digital world. 2.What’s the development vocabulary utilized by SAP HANA? A lot more than 70% of customers run their SAP workloads on Linux by using SUSE Linux Business Server, which is the best OS choice for SAP HANA. 4.Explain Parallel Processing in SAP HANA?

Using the columnar data storage-space approach, the workload in SAP HANA vertically is divided. The columnar approach allows linear searching and aggregation of data rather than two-dimensional data structure. If some column is to be processed, each task is assigned to diverse processor. Procedures using one column are collimated by column divisions processed by different processors then.

5.List benefits of using SAP HANA data source. • Using the HANA technology, you can create gen-next applications giving efficient and effective results in the overall digital economy. • Advanced tools for in-depth analysis of present, past, and the near future. 6.List the merits and demerits of using row-based dining tables. • No data approach can be faster than row-based if you want to analyze, process and retrieve one record at onetime. • Row-based furniture are of help when there is a specific demand of being able to access complete record. • It really is preferred when the desk consists of less quantity of rows.

• This data storage and processing strategy is simpler and effective without any aggregations and fast looking. • The data processing and retrieval functions involve the complete row, even though everything is not useful. 7.List benefits of column-based furniture. • Allows smoother parallel processing of data as the info in columns is stored vertically.

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Thus, to gain access to data from multiple columns, every procedure can be allocated to a separate processor primary. • Only specific columns need to be approached for a Select query and any column can be utilized for indexing. • Efficient operations since most columns thus hold unique values and, high compression rate. 8. What table type is preferred in SAP HANA Administration: column-based or row-based? Since analytic applications require substantial aggregations and agile data control, column-based desks are preferred in SAP HANA as the info in the column is stored therefore, one after the other enabling faster and easier retrieval and readability.

Thus, columnar storage space is preferred on most OLAP (SQL) questions. On the other hand, row-based tables to force users to learn and gain access to everything in a row, while you require data from few and/or specific columns. 9.What is the primary SAP HANA database element? Index Server contains actual data engines for data digesting including insight SQL and MDX claims and performs authentic transactions. 10.Explain the idea of a Persistence Layer.