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SAP HANA
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Course sections

Section 1
Approaching SAP HANA
1
Introduction to In-Memory Computing – Fundamentals of SAP HANA
2
What SAP HANA Can do – What SAP HANA Can’t do. High-Performance functionalities in SAP HANA – In-Memory computing
3
Columnar store database
4
Massive Parallel Processing
5
Data Compression. SAP HANA for Non-SAP Use Cases – SAP HANA for Non – SAP Analytics
6
SAP HANA for Non-SAP Applications. SAP HANA Database Architecture
7
SAP HANA Landscapes and Scenarios.
Section 2
Introduction to HANA Studio
1
Add SAP HANA System – Perspectives
2
Administration
3
Modeling
4
Development Plan Viz. Folders- Catalog
5
Content
6
Provisioning
7
Security. SAP HANA Database SQL Script – HANA Database SQL Basics
8
Types of statements
9
Data types
10
Operators
11
Expressions
12
Basic query execution
13
Sub-query
14
Joins
15
Expressions
16
Loops
17
Sub-queries. Catalog – Schema
18
Table
19
Views
20
Functions
21
Stored Procedures
22
Index
23
Synonyms
24
Sequences
25
Triggers. Provisioning – SDA [Smart Data Access]. Security – Users Roles
Section 3
SAP HANA Modelling
1
Introduction – Types of Models
2
Attribute Views
3
Joins
4
Using Filter Operations
5
Creating Restricted and Calculated Columns
6
Using Hierarchies. Analytic Views – Star Schema design
7
Multi-Dimensional modeling
8
Using Variables
9
Using Input parameters
10
Advantages and Limitations.
Section 4
Calculation Views (GUI)
1
Dimension Calculation View – Star Join Calculation view
2
OLTP Calculation view
3
Using Projection
4
Using Join
5
Using Aggregation
6
Using Union
7
Using Rank. Calculation Views (Scripted) – CE functions Introduction
8
Creating Content Procedure.
Section 5
Analytic Privileges
1
Classical Analytic Privileges
2
SQL Analytic Privileges
3
Dynamic analytic Privileges. Turning Business Rules into Decision tables. Table Functions.
Section 6
In-depth Modeling
1
Union Pruning
2
Refactoring information models
3
Schema Mapping
4
propagate to schematics
5
Show Lineage
6
Find Where used
7
Schema Mapping
8
Generating Time Data
Section 7
Modeling (Cont.)
1
Using Time Travel
2
migrating deprecated Information models
3
Using Currency Conversion. Web-based Modeling Workbench. Advanced HANA SQL script -Temporary tables
4
Triggers, Exceptions Handling.
Section 8
Full-Text Search
1
Overview
2
Datatypes and full-text Indexes
3
Using Full-text search. Application Life Cycle Management – Transport Using Developer mode
4
Transport Using Delivery Unit mode
5
Change management. Analyzing Query Performance- Explain Plan
6
Visualize plan
7
Performance trace
Section 9
Data Provisioning
1
Data Provisioning – Data provisioning using SLT
2
Data Acquisition with BODS
3
Data Provisioning with Flat File upload
4
Data Provisioning using Direct
5
Extractor Connection
6
Security and Authorizations
7
Introduction to Lumira
8
Using Lumira Prepare
9
visualize compose data.
Section 10
ABAP programming for SAP HANA
1
How SAP HANA affects the ABAP development process
2
Introducing the ABAP development tools (ABAP in Eclipse)
3
How to take ABAP to HANA
4
Using SAP HANA as a secondary database
5
The various issues in performance and functional aspects encountered in SAP HANA migration
6
Understanding the ABAP Test Cockpit
7
Code Inspector
8
Profiler
9
Trace and SQL Trace
10
Improving the performance with SQL performance tuning and monitoring
11
Guidelines and rules when deploying ABAP for SAP HANA.
Section 11
Accessing data stored in SAP HANA
1
What is New Open SQL
2
Definition of advanced views by deploying Core Data Services in ABAP
3
Creating CDS associations
4
How to implement authorization checks using CDS with ABAP
5
SAP HANA Objects in ABAP
6
How to consume SAP HANA views using ADBC (ABAP Database Connectivity) and native SQL in ABAP
7
Using the ADBC and native SQL to consume SAP HANA database procedures.
Section 12
Advanced Topics Overview
1
SAP HANA Dynamic tiring
2
Delta Merge
3
SDI [Smart Data Integration]
4
SAP HANA has Application Platform
5
SAP HANA cloud
6
L Procedures
7
R Procedures
8
Partitioning of tables
9
Introduction to AFL – PAL – BFL.

Data Provisioning

Using Lumira Prepare

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Data Provisioning visualize compose data.
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