A Walk Through the Kimball ETL Subsystems with Oracle Data Integration

info@rittmanmead.com www.rittmanmead.com @rittmanmead 1

info@rittmanmead.com www.rittmanmead.com @rittmanmead
Michael Rainey | KScope16
A Walk Through the Kimball ETL Subsystems with Oracle Data Integration
2

Introduction
3
• Michael Rainey - Data Integration Lead - America

- Oracle Data Integration expertise
- Blog: http://ritt.md/mRainey
- Oracle ACE Director
@mRainey

About Rittman Mead
4
•World’s leading specialist partner for technical
excellence, solutions delivery and innovation in
Oracle Data Integration, Business Intelligence,
Analytics and Big Data
•Providing our customers targeted expertise; we are a
company that doesn’t try to do everything… only
what we excel at
•70+ consultants worldwide including 1 Oracle ACE
Director and 3 Oracle ACEs, offering training
courses, global services, and consulting
•Founded on the values of collaboration, learning,
integrity and getting things done
Unlock the potential of your organization’s data
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Ongoing SupportEngagement Toolkit
Average user adoption for BI
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Rittman Mead’s User Engagement Service can help
More info: http://ritt.md/ue

What’s Most Important for YOU in Data Integration?
6
• Big data?
• Cloud?
• Financial Reporting on “one version of the truth”?

Let’s take a walk…and talk about ETL
7

Wait! What are Kimball ETL Subsystems?
Do you all know of Ralph Kimball?
8
www.kimballgroup.com
Ralph Kimball founded the Kimball Group. Since the mid-1980s, he has
been the DW/BI industry’s thought leader on the dimensional approach
and trained more than 20,000 students. Prior to working at Metaphor and
founding Red Brick Systems, Ralph co-invented the first commercially-
available workstation with a graphical user interface at Xerox’s Palo Alto
Research Center (PARC). Ralph has his Ph.D. in Electrical Engineering
from Stanford University.

The Kimball Group
Do you all know of Ralph Kimball?
9

The Kimball 34 Subsystems of ETL
10
• Extracting Data
- Data Profiling
- Change Data Capture System
- Extract System

11
• Cleaning and Conforming Data
- Data Cleansing System
- Error Event Schema
- Audit Dimension Assembler
- Deduplication System
- Conforming System

12
• Delivering Data for Presentation
- Slowly Changing Dimension
Manager
- Surrogate Key Generator
- Hierarchy Manager
- Special Dimensions Manager
- Fact Table Builders
- Surrogate Key Pipeline
- Late Arriving Data Handler
- Multi-Valued Dimension Bridge
Table Builder
- Dimension Manager System
- Fact Provider System
- Aggregate Builder
- OLAP Cube Builder
- Data Propagation Manager

13
• Managing the ETL Environment
- Job Scheduler
- Backup System
- Recovery and Restart System
- Version Control System
- Version Migration System
- Workflow Monitor
- Sorting System
- Lineage & Dependency
Analyzer
- Problem Escalation System
- Parallelizing / Pipelining System
- Security System
- Compliance Manager
- Metadata Repository Manager

Oracle Data Integration Solutions
14
Copyright*©*2015,*Oracle*and/or*its*aﬃliates.*All*rights*reserved.**|* Oracle*Open*World*2015* 1*
NoETL*Engine*
100%*NaEve*Data*
TransformaEon*
Data$
Integrator$
Big$Data$
Prepara/on$
GoldenGate$
Data$
Quality$
Data$Service$
Integrator$
Metadata$
Management$
NonIinvasive*CDC,*
RealEme*streaming*
data*delivery*
Proﬁle,*Cleanse,*
Match,*and*
Remediate*Data*
Prepare,*Secure,*
Enrich*and*Publish*
Unstructured*Data*
Catalog,*Trace*and*
View*Models*across*
the*Enterprise*
Federate*Data*
Across*DBs,*Services*
and*ApplicaEons*

Who’s coming with us?
15

Data model - where we’re going
16

Now let’s take a walk through the ETL Subsystems
17

Extracting Data
18
• Data Profiling

- Oracle Enterprise Data Quality
• Change Data Capture System

• Extract System

- Oracle Data Integrator
- Oracle GoldenGate

Extracting Data - Data Profiling with EDQ
19

20

20
• Small dataset due to
sampling percentage

20
sampling percentage
• _projectid looks like a
primary key

20
sampling percentage
• _projectid looks like a
primary key
• Investigate
school_district blanks

Extracting Data - Oracle Data Integrator
21
• Extract from many different
systems? Yes!

- Multiple technologies OOTB
- Custom technologies can be added
• Data Server - connection to the
data source

- Physical Schema
- Logical Schema

22
• Models

- Based on a single data
source
• Datastores

- Logically represent a
table, file, XML, etc
- Reverse engineer or
build manually

City
22
• Models

source
• Datastores

build manually

City
22
• Models

source
• Datastores

build manually
State

City
22
• Models

source
• Datastores

build manually
State
Zip Code

23

Extracting Data - Changed Data Only
24
• Change Data Capture

- Extract only the changed data since the last ETL extract
• Methods

- Audit columns
- Timed extract
- Full “diff compare”
- Database log scraping

Extracting Data - CDC with Oracle GoldenGate
25

Extracting Data - CDC with Oracle GoldenGate
26

Extracting Data
27
• Data Profiling

- Oracle Enterprise Data Quality
• Change Data Capture System

• Extract System

- Oracle Data Integrator
- Oracle GoldenGate

Cleaning and Conforming Data
28
• Data Cleansing System

- ODI & EDQ
• Error Event Schema

- Built on ODI E$ tables
• Audit Dimension Assembler

• Deduplication System

- EDQ
• Conforming System

Cleaning and Conforming - Data Cleansing System
29
• ODI - Check Knowledge Module

- Check logical constraints
- “Bad” data moves to error table
• EDQ

- Data cleansing audit processors

Cleaning and Conforming - ODI Constraints
30

Cleaning and Conforming - ODI Constraints
31

Cleaning and Conforming - EDQ Data Cleansing
32

Cleaning and Conforming - Error Event Schema
33
Image From: Data Warehouse Lifecycle Toolkit (Wiley Publishing, Inc: 2008).

Cleaning and Conforming - Error Event Schema
33
SNP_COND
SNP_KEY
SNP_JOIN
E$ Tables
Image From: Data Warehouse Lifecycle Toolkit (Wiley Publishing, Inc: 2008).
SNP_LPI_RUN

IOUG SELECT Journal Article
34
http://ritt.md/err-schema-odi

Cleaning and Conforming - Deduplication System
35

Cleaning and Conforming Data
36
• Data Cleansing System

- ODI & EDQ
• Error Event Schema

- Built on ODI E$ tables
• Audit Dimension Assembler

• Deduplication System

- EDQ
• Conforming System

Delivering Data
37
• Slowly Changing Dimension
Manager

• Surrogate Key Generator

• Hierarchy Manager

• Special Dimensions Manager

• Fact Table Builders

• Surrogate Key Pipeline

• Late Arriving Data Handler
•Multi-Valued  
Dimension Bridge Table
Builder

•Dimension Manager System

•Fact Provider System

•Aggregate Builder

•OLAP Cube Builder

•Data Propagation Manager

Delivering Data
38
• Slowly Changing Dimension Manager

- ODI Integration Knowledge Module
- Set SCD behavior type for each 
target column

- Database Sequence objects and ODI Sequences
• Fact Table Builder

- Lookups in ODI

Delivering Data - Slowly Changing Dimension in ODI
39

Delivering Data - SCD in ODI - Surrogate Keys
40

Delivering Data - SCD in ODI - Surrogate Keys
40
Additional audit columns

Delivering Data - Fact Table Builder
41

Delivering Data
42
• Slowly Changing Dimension Manager

- ODI Integration Knowledge Module
- Set SCD behavior type for each 
target column

- Database Sequence objects and ODI Sequences
• Fact Table Builder

- Lookups in ODI

Managing the ETL Environment
43
• Job Scheduler

• Backup System

• Recovery and Restart System

• Version Control System

• Version Migration System

• Workflow Monitor

• Sorting System
• Lineage &  
Dependency Analyzer

• Problem Escalation System

• Parallelizing / Pipelining
System

• Security System

• Compliance Manager

• Metadata Repository Manager

Managing the ETL Environment - Job Scheduler
44
• Create ODI schedule on
execution object

- Tied to an agent and
context
• Limited flexibility

- Custom Fiscal Month end,
for example

Managing the ETL Environment - Job Scheduler
45
• Alternative to ODI scheduler - external scheduling tool

- ODI Scenarios and Load Plans can be executed via command
line script or web service 
./startloadplan.sh LOAD_EDW GLOBAL 6  
-AGENT_URL=http://localhost:20910/oraclediagent

12.2.1
Managing the ETL Environment - Version Control/Migration
46
• ODI 12.2.1 Lifecycle Management

- Integrated with Subversion
- Deployment Archives for code 
migration between environments

Managing the ETL Environment - Workflow Monitor
47

Managing the ETL Environment - Workflow Monitor
47
Drilldown from ODI
Session to SQL
detailed activity
report
Obtain real-time and
historical agent
statistics

Managing the ETL Environment
48
• Job Scheduler

• Backup System

• Recovery and Restart System

• Version Control System

• Version Migration System

• Workflow Monitor

• Sorting System
• Lineage &  
Dependency Analyzer

• Problem Escalation System

• Parallelizing / Pipelining
System

• Security System

• Compliance Manager

• Metadata Repository Manager

Where did we end up?
49
• The Kimball ETL Subsystems
will guide your data warehouse
program

• Oracle Data Integration can
help you fully implement the
ETL Subsystems

- Extract, Load, Transform with
ODI and GoldenGate
- Profile and cleanse data with
Enterprise Data Quality

Where did we end up? One version of the truth…
50

Questions?
51

Questions?
52
• Websites

- kimballgroup.com
- rittmanmead.com/blog
• Contact

- info@rittmanmead.com
- michael.rainey@rittmanmead.com
• Twitter

- @rittmanmead
- @mRainey

Rittman Mead at KScope16
53
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Lunch & Learn: BI and Data Warehousing
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Sheraton III
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Integration
Michael Rainey | Wednesday Jun 29, 11:30am | Level 2 - Mayfair
How to Brand and Own Your OBIEE Interface: Past,
Present, and Future
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Ballroom Level - Sheraton III

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Superior A

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A Walk Through the Kimball ETL Subsystems with Oracle Data Integration

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