SAP HANA Database Concepts
SAP HANA Database Overview
The SAP HANA database is a hybrid in-memory database combines row-based, column based, and object-based database technology.
It is optimized to exploit the partial processing capabilities of modem multi-core / CPU architectures. With this architecture SAP applications can benefit from current bar down technologies.
The SAP HANA database is the heart of SAP’s in-memory technology offering, helping customers to improve their operational efficiency, agility and flexibility.
SAP HANA Information Composer
SAP HANA Information composer is a Web-Based Environment which allows business users to upload data to the SAP HANA database and to manipulate that data by creating information values.
The main features of information Composer are as follows
Data acquisition
You can upload the data, preview, and cleanse this data, and create a physical table in the SAP HANA database.
Data Manipulation
You can select two objects in the SAP HANA database, combined them, add calculated fields, and create an information view that can be consumed by SAP Bo tools.
BUSINESS / INTELLIGENCE
(Business Objects) – It is a reporting tool of generate reports from views provided by HANA Information Composer studio.
We can generate reports from views in two ways
Direct Accessing views for crystal reports, Advanced Analysis, Explorer, Webi4.0, SAP Real time Xclaries
WE can create UDT or IDT (Universe Design tool, Information Design tool) first and then create reports.
SAP HANA STUDIO
Here we can perform modeling & administration on data which is available in HANA DB and to produce views which are used to create reports and to build dashboard in SAP BO tool
At TekSlate, we offer resources that help you in learning various IT courses. We avail both written material and demovideo tutorials. To gain in-depth knowledge and be on par with practical experience,
then explore SAP HANA Training Material PDF.
Pre-requistes
SAP HANA Hardware
Multi core Architecture/HANA DB
SAP HANA Software
In Memory Computing Engine Algorithm (Row/Column/Object)
SAP HANA DB Overview
| SQL DB | HANA DB |
|
|
Advantages of Column level stage
Sligh data compression rata\e
Sligh performance on column operation
Elimination of Traditional materialized view concept
Elimination of unnecessary index
| Normal DB H/W | HANA H/W |
|
|
In HANA Table schema we have not only table but also views
In Analytical view, Attribute view, calculated view these are surrounded by tables and view
Role of HANA studio in HANA Database System
It helps us to create analytical, calculate views
HANA studio is also helps us to do turning of SQL Query & support for ANSI SQL
Learn more about SAP HANA Interview Questions in this blog post.
Initially the Data ERP BW Mixed Source
Replicated (With Initial data volumes and lock) – It is mapped to HANA DB persistence layer
When we load all data into memory and log volume data will be loading into paging memory with the help of HANA Management System
Once the data loaded into cache memory we will prepare data stores (row/column/object)
These data stores can be optimized.
They can also use standard SQL Statements & scripts to optimized. For that this is given to HANA studio by request parser to prepare the views (Analytical / Attribute / Calculated views)
We can maintain these views & Data store in HANA meta data Manager which is given to the reporting analysis
SAP HANA Security
HANA Lands cape has got different levels in different phases
Database Development
At DB level we define security for view & tables in terms of database repository owners authorization for networks
Modeling Level
To prepare and process the view, accessing meta data manager, accessing request parser, authorization to add data services as external system in HANA studios.
At Reporting level
Authorization for HANA ODBC.
Authorization to create semantic layer using HANA DB.
Authorization in accessing HANA Views, UNX files (4.0) in generating BO Business Intelligence
For an Indepth knowledge on SAP HANA, click on below