An Introduction to Oracle Enterprise Metadata Manager

Sep 17, 20152 likes438 views

This document discusses Red Pill Analytics and its Oracle Enterprise Metadata Manager (OEMM) product. It provides an overview of OEMM's key capabilities including harvesting metadata from various sources to create models, using bridges to connect the models, and stitching the models together to form relationships and lineage. Use cases for OEMM are also mentioned such as supporting agile delivery, upgrading Oracle BI, understanding big data assets, and aiding project planning.

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
An Introduction to Oracle
Enterprise Metadata Manager
1
Stewart Bryson
medium.com/@stewartbryson @stewartbryson linkedin.com/in/stewartbryson

An Introduction to Oracle Enterprise Metadata Manager

© 2014 RED PILL Analytics
Who is Red Pill Analytics?

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
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

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

© 2014 RED PILL Analytics
Metadata is Confusing

© 2014 RED PILL Analytics
Never Seems Complete

© 2014 RED PILL Analytics
Planning is Futile

© 2014 RED PILL Analytics
Despite Our Best Efforts

© 2014 RED PILL Analytics
We Still End Up With This

© 2014 RED PILL Analytics
Or Worse… This

© 2014 RED PILL Analytics
Or Even Worse… This

© 2014 RED PILL Analytics
Business Users Need a View of Metadata

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
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

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
Bridges
19

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
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

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
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.

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
Stitching Models Together
23
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models
Add Models
to a New
Configuration

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
Add Models
to a New
Configuration
Use Data
Lineage in
the new
Configuration
Define
Connection
Points
between the
Models

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics

DEMO
Harvesting and Stitching
Hadoop, Oracle, ODI and OBIEE

www.RedPillAnalytics.com info@RedPillAnalytics.com @RedPillA © 2014 RED PILL Analytics
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

The document discusses Oracle Enterprise Metadata Management (OEMM) which allows users to manage metadata, data lineage, and business glossaries. It harvests metadata from popular platforms including BI tools, ETL tools, databases, and big data tools. OEMM provides vertical lineage that shows traceability from business terms to IT artifacts, and horizontal lineage that traces columns and fields across multiple systems. It allows interactive exploration of metadata relationships through zooming and filtering capabilities.

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An Introduction to Oracle Enterprise Metadata Manager

1. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics An Introduction to Oracle Enterprise Metadata Manager 1 Stewart Bryson medium.com/@stewartbryson @stewartbryson linkedin.com/in/stewartbryson

4. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics 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

17. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics 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

20. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics 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

22. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics 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.

23. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Stitching Models Together 23 Use Data Lineage in the new Configuration Define Connection Points between the Models Add Models to a New Configuration

24. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

25. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

26. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

27. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

28. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

29. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

30. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

31. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

32. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

33. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

34. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

35. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics Add Models to a New Configuration Use Data Lineage in the new Configuration Define Connection Points between the Models

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

39. www.RedPillAnalytics.com [email protected] @RedPillA © 2014 RED PILL Analytics 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

An Introduction to Oracle Enterprise Metadata Manager

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An Introduction to Oracle Enterprise Metadata Manager