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1. Business Intelligence - BI - ETL - Developer
-Training
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2. Index
1. Data Warehousing Concepts
2. What is Data Warehouse (DHW)?
3. Difference between OLTP and DWH?
4. Data Acquisition
5. Data Extraction
6. Data Transformation
7. Data Loading
8. Data Marts
9. Dependent Data Mart
10. Independent Data Mart
11. Database Design
12. Star Scheme
13. Basic Concept in SQL
14. Overview of ETL Tool Architecture
15. White Box Testing Functionality on
Different transformation Rules
16. Data Warehouse Life Cycle
17. Types of Testing Techniques in ETL
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3. What is ETL?
In computing, extract, transform, and load (ETL) refers to a
process in database usage and especially in data warehousing
that:
● 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)
ETL
Data Sources A
Data
Warehous
e
Data Sources B
Data Sources C
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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.
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5. ETL Process
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6. From Data -> Business Value
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7. ETL Testing Concepts
Source System ETL Layer Data and Meta data Layer Presentation Layer
Enterprise
Data
Warehouse
Metadata
Repository
ODS
Data
Data
Data
Extract.
Transformation, and load
(ETL) Layer
● Clease Data
● Filter Records
● Standardizad Value
● Decode Values
● Apply Business
Rules
● Householding
● Dumpe records
● Merge record
Transaction system
● SAP ERP
● SAP CRM
● E-Commerce
External Data
● Excel
●
● Reporting Tools
● OLAP TOOLS
● Ad Hoc Query
Tools
● Data Mining Tools
External Data
● Excel
●
ETL Tools:
- BODS 4.0
- Informatica PowerMart
- Oracle
- SQL Server
- Teradata
- DB2
ETL Tools:
- Business Objects 4.0
- HTML Reports
Cognos

8. Source systems
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9. ETL Vendors
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10. ETL Reporting tools

11. 2. BI Launchpad
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12. 3. BO Dashboard
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13. 4. Information design Tool
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14. 5. Crystal Reports 2011

15. 6. BO Analysis for OLAP
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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)
mondy.holten@mr-data.nl
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