An Introduction to Oracle Enterprise Metadata Manager

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An Introduction to Oracle
Enterprise Metadata Manager
1
Stewart Bryson
medium.com/@stewartbryson @stewartbryson linkedin.com/in/stewartbryson

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Who is Red Pill Analytics?

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Red Pill Analytics: Leadership
4
Stewart Bryson
Oracle ACE Director
Previously From:
Rittman Mead
Informix Software
Data Warehousing &
Business Intelligence
since 1996
Kevin McGinley
Oracle ACE Director
Previously From:
Accenture
BI Consulting Group
Data Warehousing &
Business Intelligence
since 1997

5. A unique approach to BI
and analytics delivery.
www.redpillanalytics.com
@RedPillA
•Development-as-a-
Service
•Continuous
Integration
•Agile Delivery
•Subscription Billing
•Traditional Consulting
and Training

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Metadata is Confusing

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Never Seems Complete

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The Last Mile

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Planning is Futile

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Despite Our Best Efforts

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We Still End Up With This

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Or Worse… This

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Or Even Worse… This

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Business Users Need a View of Metadata

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Search is Key

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Harvesting

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Harvesting
17
The process of “reverse-
engineering” or importing
the metadata of a specific
metadata provider/
technology.
Harvesting results in
“Models”: a generic
representation of diverse
metadata sources

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Bridges

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Bridges
19

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Bridges
20
Provided by Oracle Partner
Meta Information
Technology Inc. (MITI) and
functioning out of the box
Similar to ODI Knowledge
Modules (KMs): source and
target specific adaptors
that plug into various
technology API’s

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Stitching

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Stitching
22
The automated process of
validating a set of selected
models in order to connect
metadata elements to form
relationships.
Configurations are
containers for the stitched
models. Harvested models
can be part of multiple
configurations.

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Stitching Models Together
23
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models
Add Models
to a New
Configuration

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

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37. DEMO
Harvesting and Stitching
Hadoop, Oracle, ODI and OBIEE

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Use Cases

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Use Cases for OEMM
39
Agile or Continuous Delivery: Reporting directly against a source
system or ODS before building ETL
OBIA Upgrade from 7.9.6.x to 11.1.1.8.1: OEMM supports all the
pieces of both architectures
Getting a handle on Big Data assets and how they feed traditional
reporting systems
Planning and estimating: Put OEMM in the hands of project
delivery managers and PMs