SAP HANA is an in-memory, columnar database management system that allows for real-time data processing and analytics.
ABAP for SAP HANA refers to the programming language used to develop applications that run on the SAP HANA platform.
Key features of SAP HANA include in-memory computing, advanced analytics, data virtualization, and data replication.
SAP HANA is an in-memory database, which means it stores data in RAM for faster processing, while traditional databases store data on disk.
SLT is used for real-time data replication from SAP and non-SAP sources into SAP HANA.
Calculation Views are used to define complex calculations and aggregations on data stored in SAP HANA.
Analytic Views are used for reporting and analysis purposes, while Calculation Views allow for complex calculations and aggregations.
You can debug an ABAP program in SAP HANA by setting breakpoints in the code and executing the program in debug mode.
Open SQL is a subset of the SQL language that can be used across different database systems, while Native SQL is specific to a particular database, such as SAP HANA.
Performance in SAP HANA can be optimized by creating appropriate indexes, partitioning tables, using parallel processing, and optimizing SQL queries.
A secondary index is an additional index created on a column to speed up data retrieval for frequently accessed data.
Views in SAP HANA are logical data containers that define how data from database tables is presented to the end users.
SQLScript is a procedural language used for complex data manipulation and logic processing in SAP HANA.
SAP HANA objects can be transported using the SAP HANA transport mechanism, which involves creating transport requests and moving objects between systems.
SAP HANA Live provides pre-defined content and virtual data models that allow real-time reporting and analytics on SAP HANA data.
SLT is used for real-time data replication, while SAP Data Services is an ETL (Extract, Transform, Load) tool used for batch data integration.
You can create an SAP HANA table using the CREATE TABLE statement in Script.
Attribute Views are used to define the attributes and hierarchies of master data for reporting purposes.
Star Schema is a data modeling technique with a central fact table and multiple dimension tables, while Extended Star Schema includes additional tables for master data and hierarchy information.
You can monitor SAP HANA system performance using various tools like SAP HANA Studio, SAP HANA Cockpit, and SQLScript-based monitoring views.
The SAP HANA XS Engine allows you to develop and deploy lightweight, server-side applications using JavaScript and HTML.
Exceptions in SAP HANA ABAP can be handled using TRY-CATCH blocks, where you can catch and handle specific exceptions.
The SAP HANA Index Server is responsible for processing and executing queries, managing data storage, and optimizing query performance.
Calculation Views are used to define complex calculations, aggregations, and transformations on data in SAP HANA.
Data can be loaded into SAP HANA from external systems using various methods like SAP Data Services, SAP HANA Smart Data Integration, or by using flat files and SQL statements.