A Walk Through the Kimball ETL Subsystems with Oracle Data Integration

info@rittmanmead.com www.rittmanmead.com @rittmanmead
Michael Rainey | Oracle OpenWorld 2015
A Walk Through the Kimball ETL Subsystems with Oracle Data Integration Solutions
1

Introduction
2
• Michael Rainey

- Data Integration Practice Lead - America
- Oracle Data Integration expert
• GoldenGate and Oracle Data Integrator
• BI Applications 11g
- Blogger, instructor, speaker
- Oracle ACE
@mRainey

About Rittman Mead
3
•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
•Founded on the values of collaboration, learning,
integrity and getting things done
Optimizing your investment in Oracle Data Integration
•Comprehensive service portfolio designed to
support the full lifecycle of any analytics solution

info@rittmanmead.com www.rittmanmead.com @rittmanmead 4
Visual Redesign Business User Training
Ongoing SupportEngagement Toolkit
Average user adoption for BI
platforms is below 25%
Rittman Mead’s User Engagement Service can help

What’s Most Important for YOU in Data Integration?
5
• Big data?

5
• Big data?
• Cloud?

5
• Big data?
• Cloud?
• Financial Reporting on “one version of the truth”?

Let’s take a walk…and talk about ETL
6

Wait! What are Kimball ETL Subsystems?
Do you all know of Ralph Kimball?
7
www.kimballgroup.com

Wait! What are Kimball ETL Subsystems?
7
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
8

The Kimball 34 Subsystems of ETL
9
• Extracting Data
- Data Profiling
- Change Data Capture System
- Extract System

10
• Cleaning and Conforming Data
- Data Cleansing System
- Error Event Schema
- Audit Dimension Assembler
- Deduplication System
- Conforming System

11
• 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

12
• 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
13
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*

Now let’s take a walk through the ETL Subsystems
14

Who’s coming with us?
15

Data model - where we’re going
16

Extracting Data
17
• Data Profiling

- Oracle Enterprise Data Quality
• Change Data Capture System

• Extract System

- Oracle Data Integrator
- Oracle GoldenGate

Extracting Data - Data Profiling with EDQ
18

19

19
• Small dataset due to
sampling percentage

19
sampling percentage
• _projectid looks like a
primary key

19
sampling percentage
• _projectid looks like a
primary key
• Investigate
school_district blanks

Extracting Data - Oracle Data Integrator
20
• 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

21
• Models

- Based on a single data
source
• Datastores

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

City
21
• Models

source
• Datastores

build manually

City
21
• Models

source
• Datastores

build manually
State

City
21
• Models

source
• Datastores

build manually
State
Zip Code

22

Extracting Data - Changed Data Only
23
• 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
24

Extracting Data - CDC with Oracle GoldenGate
25

Extracting Data
26
• Data Profiling

- Oracle Enterprise Data Quality
• Change Data Capture System

• Extract System

- Oracle Data Integrator
- Oracle GoldenGate

Cleaning and Conforming Data
27
• 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
28
• ODI - Check Knowledge Module

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

- Data cleansing audit processors

Cleaning and Conforming - ODI Constraints
29

Cleaning and Conforming - ODI Constraints
30

Cleaning and Conforming - EDQ Data Cleansing
31

Cleaning and Conforming - Error Event Schema
32
Image From: Ralph Kimball. “The Data Warehouse Lifecycle Toolkit.” iBooks. https://itun.es/us/lon6z.l

32
SNP_LP_RUN
SNP_COND
SNP_KEY
SNP_JOIN
SNP_CHECK_TAB

32
SNP_LP_RUN
SNP_COND
SNP_KEY
SNP_JOIN
SNP_CHECK_TAB
E$ Tables

Cleaning and Conforming - Deduplication System
33

Cleaning and Conforming Data
34
• Data Cleansing System

- ODI & EDQ
• Error Event Schema

- Built on ODI E$ tables
• Audit Dimension Assembler

• Deduplication System

- EDQ
• Conforming System

Delivering Data
35
• 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
36
• 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
37

Delivering Data - SCD in ODI - Surrogate Keys
38

Delivering Data - SCD in ODI - Surrogate Keys
38
Additional audit columns

Delivering Data - Fact Table Builder
39

Delivering Data
40
• 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
41
• 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
42
• 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
43
• 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
44
• ODI 12.2.1 Lifecycle Management

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

Managing the ETL Environment - Workflow Monitor
45

Managing the ETL Environment - Workflow Monitor
45
Drilldown from ODI
Session to SQL
detailed activity
report
Obtain real-time and
historical agent
statistics

Managing the ETL Environment
46
• 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?
47
• 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…
48

Questions?
49

Questions?
50
• Websites:

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

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

- @rittmanmead
- @mRainey

Rittman Mead Sessions
51
No Big Data Hacking—Time for a Complete ETL
Solution with Oracle Data Integrator 12c
[UGF5827]
Jérôme Françoisse | Sunday, Oct 25, 8:00am |
Moscone South 301

Empowering Users: Oracle Business Intelligence
Enterprise Edition 12c Visual Analyzer [UGF5481]
Edelweiss Kammermann | Sunday, Oct 25, 10:00am
| Moscone West 3011

A Walk Through the Kimball ETL Subsystems
with Oracle Data Integration Solutions [UGF6311]
Michael Rainey | Sunday, Oct 25, 12:00pm |
Moscone South 301
Oracle Business Intelligence Cloud Service—
Moving Your Complete BI Platform to the Cloud
[UGF4906]
Mark Rittman | Sunday, Oct 25, 2:30pm | Moscone
South 301

Oracle Data Integration Product Family: a
Cornerstone for Big Data [CON9609]
Mark Rittman | Wednesday, Oct 28, 12:15pm |
Moscone West 2022

Developer Best Practices for Oracle Data
Integrator Lifecycle Management [CON9611]
Jérôme Françoisse | Thursday, Oct 29, 2:30 pm |
Moscone West 2022

A Walk Through the Kimball ETL Subsystems with Oracle Data Integration

Recommended

More Related Content

What's hot (20)

Similar to A Walk Through the Kimball ETL Subsystems with Oracle Data Integration (20)

More from Michael Rainey (15)

Recently uploaded (20)

A Walk Through the Kimball ETL Subsystems with Oracle Data Integration