Skip to main content

What is Core Data Service View in SAP

SAP CDS (SAP Core Data Service) is a data modeling structure that defines and consumes data models that are not on the application server but on the database server. Certain key needs are met by the powerful in-memory database of SAP HANA. These include fast real-time performance for optimized activities at the database level, quick retrieval of data, and reduced application execution time. Developers use the SAP CDS to create underlying data models and application services for exposure to UI clients as CDSView SAP.

CDS View SAP is a virtual data model of SAP. It allows direct access to the underlying tables of the HANA database. CDS View SAP was introduced by SAP with a new programming model that focused on pushing logic from the application server to the client-side and database and is known as ‘Code -to-Data’ or ‘Code Pushdown’.CDS View SAP gets the logic from the ABAP application and executes it on the database server instead of the application server. ABAP CDC Views are based on the application server while the logic is processed in the database and created by using an enhanced version of the SQL syntax.

Transparent tables are used to physically store data in SAP for data modeling while CDS View SAP is an abstraction layer on top of the tables. This helps to establish the relationship between database tables and hides the complexities from the ABAP programmer.

One of the advantages of CDS View SAP is that it can be exposed as an OData Service for accessing and extracting SAP data. Another feature is that CDS View SAP supports fully automatic client handling.

Comments

Popular posts from this blog

Capturing Data with the SAP Extractor

The SAP Extractor is a program in SAP ERP that can be both customized or taken from a standard Data Source. It prepares and captures data through an extract structure that can be transferred to the Business Warehouse of SAP. Both the options of the SAP Extractor help to describe a delta load process or various types of full load. The SAP BW can remotely access the various data transfer activities of the SAP Extractor . For more on SAP Extractor, click here. SAP Extractor executes SAP data extraction in three ways. The first is Content Extraction used to extract BW content, FI, HR, CO, SAP CRM, and LO cockpit. The second is Customer-Generated Extraction where the SAP Extractor is used for LIS, FI-SL, CO-PA. The third is Generic Extraction which is based on DB View, Infoset, Function Modules. The SAP Extractor used for a specific extraction activity depends on the particular needs of an organization. Data capturing and extraction with the SAP Extractor is initiated with the h...

The Evolution of Technology of Oracle Change Data Capture

Oracle change data capture ( CDC) was first launched with the 9i version as an in-built tool of the Oracle database. It was a tool that recorded and monitored all changes made in the user tables in a database. These changes were then stored in change tables and used in ETL applications for later processing and transferring to other data warehouses and databases. The release version of Oracle change data capture   had triggers placed in the source database. However, database administrators found this technology very invasive and did not favor it. Ultimately, Oracle changed the Oracle change data capture   technology and released it with the 10g version after naming it Oracle Streams.  The working of this release was different. Oracle change data capture   used the redo logs of the source database along with a replication tool of Oracle Streams. This technology turned out to be very successful and a highly optimized method to identify and move change data to a target ...

Building a Data Lake on Amazon Simple Storage Service

Amazon Simple Storage Service (S3) is a cloud-based data storage service that stores data in its native format. Data durability of S3 is always at a high of 99.999999999 (11 9s), and the data regardless of the volume is stored in a fully secured and safe ecosystem. In Amazon S3, data files that contain metadata and objects are stored in buckets for uploading. For metadata and files, the object is to be uploaded to S3. After this step, permissions can be granted on the metadata or related objects stored in the buckets. Many competencies can be used when an S 3 data lake   is built on Amazon S3. These include media data processing applications, Artificial Intelligence (AI), Machine Learning (ML), big data analytics, and high-performance computing (HPC). When all these are used in conjunction, businesses get access to critical data, business intelligence, and analytics from S3 data lake and unstructured data sets. There are several benefits of the S3 data lake. The first is differe...