Sap ABAP on Hana Online Training

Introduction to DBMS and RDBMS: Database Management Systems (DBMS) and Relational Database Management Systems (RDBMS) are systems for storing and managing data. SAP HANA is an advanced version of RDBMS optimized for performance.
History of RDBMS: The evolution from hierarchical and network databases to the development of relational databases (RDBMS) like SQL-based systems.
Basic Concepts: RAM, SSD, and Hard Disk:
- RAM: Volatile memory used for fast data processing.
- SSD: Solid-state drives for faster storage access.
- Hard Disk: Traditional disk storage with slower access times.
What is In-Memory Database?: In-memory databases store data in the main memory (RAM) rather than on disk for quicker access and processing.
What is SAP HANA?: SAP HANA is an in-memory, columnar database designed to perform both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) in real-time.
How is HANA Different from Other Databases?: HANA uses in-memory processing (RAM) for faster data access compared to traditional disk-based databases.

HANA Evaluation: The process of assessing SAP HANA for suitability in an organization’s data architecture.
Why HANA Platform?: HANA’s ability to handle real-time analytics, speed, and massive data processing is its unique advantage. It allows businesses to make quicker decisions based on real-time data.
What HANA Cannot Do: SAP HANA is not suitable for all scenarios; it cannot replace legacy systems in every case, especially those not needing real-time processing.
HANA Hardware Size and Editions: SAP HANA can be deployed on various hardware sizes based on the scale of data processing required. There are several editions available, including SAP HANA Cloud and SAP HANA Enterprise Edition.
Installation of HANA Server and Studio: SAP HANA can be installed on servers for enterprise-level systems. HANA Studio provides a development and administration environment.

Database Objects: These are tables, views, synonyms, sequences, procedures, and indexing.
HANA Studio: An integrated development environment (IDE) used to manage and configure SAP HANA systems.
HANA Schema: A collection of database objects. SAP HANA allows users to create schemas for organizing data.
Materialized Views: Precomputed views in SAP HANA that store the result of a query for faster performance.
Introduction to SQL (DDL, DML, DCL, and TCL): SAP HANA supports SQL for database management.
- DDL (Data Definition Language): Defines database structures.
- DML (Data Manipulation Language): Handles data manipulation (INSERT, UPDATE, DELETE).
- DCL (Data Control Language): Controls access to data (GRANT, REVOKE).
- TCL (Transaction Control Language): Manages database transactions (COMMIT, ROLLBACK).

Row Store and Column Store: SAP HANA uses columnar storage for analytical workloads and row store for transactional data, providing flexibility and speed.
Compression in HANA: HANA employs compression techniques to minimize storage requirements.
Partitions on Column Store: Data is partitioned for faster access and processing.
How the HANA Column is Good for Write Capability: Columnar storage is highly optimized for read-heavy operations, and with certain configurations, it can support efficient write operations.
Joins: HANA supports various types of joins (INNER, LEFT, RIGHT, FULL) for querying across different tables.

Multi-dimensional Models: SAP HANA supports multi-dimensional views, which help in business intelligence and decision-making processes.
Attribute View, Analytic View, Calculation View: These are HANA-specific data models used to perform different types of calculations and aggregations.
- Attribute View: Simple views for retrieving and defining data.
- Analytic View: Focuses on aggregating and calculating data.
- Calculation View: Used for complex calculations involving multiple data sources.
HANA Script: Allows for advanced data manipulation and query execution.
Star Join: A type of join used to handle multi-dimensional models in HANA.
Hierarchies, Filter Operations, Variables, and Currency Conversion: These tools allow for more complex data manipulations, such as filtering by various criteria or converting data into a specific currency.
Fuzzy Search, Decision Tables: Advanced search and decision-making tools for handling complex data.
Business Function Library (BFL): A set of pre-built functions for common business scenarios.

HANA Engines: SAP HANA includes various engines to handle different types of workloads, such as OLAP and OLTP.
HANA Security: Built-in security features to protect data access, encryption, and user roles.
HANA Transport: Tools to transport data across different systems or environments.
Backup and Recovery: HANA supports high-availability features and backup/recovery strategies for data protection.
Native HANA Apps Development: Development of custom applications directly within the SAP HANA environment.
HANA Architecture: Understanding of the layered architecture in SAP HANA, including the database, application layer, and persistent layer.
Persistent Layer: The layer that persists data to disk when it cannot be stored in memory.
Performance Check Tools: Tools for monitoring and optimizing SAP HANA’s performance.
Dynamic Tiering: A concept to move less frequently used data to disk while keeping the active data in-memory.
Monitoring HANA: Tools and techniques for monitoring HANA system health and performance.
BO Reporting, SAP Lumira, Design Studio, and Explorer: SAP HANA integrates with SAP BusinessObjects tools for reporting, analytics, and data visualization.
Native HANA and Application Powered by HANA: Apps built directly on top of SAP HANA that leverage its power for real-time processing.

ABAP Dictionary Enhancements: Integrating ABAP with HANA for better data handling.
ABAP & SAP HANA Data Types: Exploring the different data types used in ABAP and how they integrate with HANA.
Open SQL & ABAP Dictionary Views: Using Open SQL and ABAP views to interact with SAP HANA.
ABAP Managed Database Procedures (AMDP): Creating stored procedures within the ABAP layer that run in SAP HANA.
Native SQL: Directly using SQL within ABAP programs for interacting with the database.
Code Push Down Concepts Using ADT: Moving business logic into the database layer to improve performance.
Additional Topics:
- SAP SECC on HANA: Integrating SAP Security, Compliance, and Cloud with HANA.
- HANA Live: Real-time analytics using HANA.
- BW on HANA: Running SAP BW on top of SAP HANA for data warehousing and analytics.
- UI5 and S/4 HANA: Developing modern UIs with SAP UI5 and integrating them with S/4 HANA.

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