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
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integrity and getting things done
Unlock the potential of your organization’s data
•Comprehensive service portfolio designed to
support the full lifecycle of any analytics solution

Visual Redesign Business User Training
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 II
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III
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Against EPM Sources
Mark Rittman | Wednesday Jun 29, 10:15am | Ballroom Level -
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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Learning and Advanced Visualizations
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