This document provides an overview of Extract, Transform, Load (ETL) concepts and processes. It discusses how ETL extracts data from various source systems, transforms it to fit operational needs by applying rules and standards, and loads it into a data warehouse or data mart. The document outlines common ETL scenarios, the overall ETL process, testing concepts, and popular ETL tools. It also discusses how ETL processes data from various sources and loads it into data warehouses and data marts to enable business analysis and reporting for business value.

1. Business Intelligence - BI - ETL - Developer
-Training

2. Index
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
Data Warehousing Concepts
What is Data Warehouse (DHW)?
Difference between OLTP and DWH?
Data Acquisition
Data Extraction
Data Transformation
Data Loading
Data Marts
Dependent Data Mart
Independent Data Mart
Database Design
Star Scheme
13.
14.
15.
16.
17.
Basic Concept in SQL
Overview of ETL Tool Architecture
White Box Testing Functionality on
Different transformation Rules
Data Warehouse Life Cycle
Types of Testing Techniques in ETL

3. What is ETL?
In computing, extract, transform, and load (ETL) refers to a
process in database usage and especially in data warehousing
that:
Data Sources A
●
Extracts data from outside sources
●
Transforms it to fit operational needs, which can
include quality levels
●
Loads it into the end target (database, more
specifically, operational data store, data mart, or data
warehouse)
Data Sources B
Data Sources C
ETL
Data
Warehous
e

4. ETL Scenario
●
When there are many source systems to be
integrated
●
When source systems are in different formats
●
When this process needs to be run repeatedly
(e.g. daily, hourly, real time)
●
To take advantage of pre-built
warehouses/marts. Many of these exist for
popular platforms such as PeopleSoft, SAP, JD
Edwards.

5. ETL Process

6. From Data -> Business Value

7. ETL Testing Concepts
Source System
Transaction system
●
SAP ERP
●
SAP CRM
●
E-Commerce
External Data
●
Excel
●
External Data
●
Excel
●
ETL Layer
Extract.
Transformation, and load
(ETL) Layer
●
●
●
●
●
●
●
●
Clease Data
Filter Records
Standardizad Value
Decode Values
Apply Business
Rules
Householding
Dumpe records
Merge record
ETL Tools:
- BODS 4.0
- Informatica PowerMart
Data and Meta data Layer
Enterprise
Data
Warehouse
ODS
Presentation Layer
Reporting Tools
●
OLAP TOOLS
●
Data
●
Ad Hoc Query
Tools
●
Data Mining Tools
Data
Metadata
Repository
- Oracle
- SQL Server
- Teradata
- DB2
Data
ETL Tools:
- Business Objects 4.0
- HTML Reports
Cognos

8. Source systems

9. ETL Vendors

10. ETL Reporting tools

11. 2. BI Launchpad

12. 3. BO Dashboard

13. 4. Information design Tool

14. 5. Crystal Reports 2011

15. 6. BO Analysis for OLAP

16. 7. BI Workspaces

17. SAP BO 4.0 Interactive Analysis

18. Next step?

19. Contact Me
●
●
●
●
●
ETL Design
ETL Building
ETL Testing
ETL Support
ETL Training
BSc. Mondy Holten
Software Engineer (ETL, BI, SAP, HCM)
info@mmobilesolutions.com
+31629446309