presented to: by: date: federal aviation administration enterprise information management soa brown...

Presented to:

By:

Date:

Federal AviationAdministrationEnterprise Information

Management

SOA Brown Bag #2

Sam Ceccola – SOA Architect

November 17, 2010

2Federal AviationAdministration

SWIM Brown Bag Session #2 - EIMNovember 17, 2010

Agenda

• What is EIM?• EIM, SOA and SOE?• EIM Key Characteristics• Enterprise Information Model• EIM Concepts

– Layered Architecture

– Data Virtualization

– Information Understanding

– Information Analytics

– Dissemination

– Information Governance

• Challenges of implementing EIM



Data, Data EverywhereOver the past 5 years, the amount of

data we have has grown 10x…



What is Enterprise Information Management?

• EIM is a combination of Real-Time Business Intelligence, Traditional Business Intelligence and Enterprise Content Management– Business Intelligence is computer based techniques for turning

data into wisdom

• EIM provides virtualization and integration of Enterprise Data, utilizing both structured and non-structured data

• EIM provides an Enterprise environment for a user to Discover, Manage, Understand, Analyze and Disseminate the information created by the Enterprise



What is the relationship with EIM and SOE?A Service Oriented Enterprise (SOE) is an organization whose

business processes and IT infrastructure are integrated across the entire enterprise to deliver on-demand services to customers,

partners and suppliers

A Service Oriented Enterprise (SOE) is an organization whose business processes and IT infrastructure are integrated across the

entire enterprise to deliver on-demand services to customers, partners and suppliers

Enterprise Information Management leverages a SOE environment by utilizing the following characteristics and technologies:

• Data Virtualization

• Real time and non real-time business intelligence

• Model-driven

• Enable architectural transparency (e.g., what, where, why, cost, relationships, etc.)

• Treat rules, policies and processes as “first class citizens”

• Automate Service Governance



EIM Key Characteristics

• Enterprise Information Model• Standards Based• Data Virtualization• Event Driven• Decision Support• Trend Analysis• Advanced analytics techniques• Link Analysis• Multi-Dimensional Analysis • Application of real and near real time collection techniques• Application of a common model & structure (Bottom up Modeling



Enterprise Information Model

Is a representation of concepts, relationships, constraints, rules and operations to specify informationSemantics for an enterprise.

Representation in today’s technology utilizes a model known as an ontology



What is in an Ontology?• Individuals: instances or objects (the basic or "ground level" objects)

• Classes: sets, collections, concepts

• Attributes: aspects, properties, features, characteristics

• Relations: ways in which classes and individuals, can be related to one another]

• Function terms: complex structures formed from certain relations that can be used in place of an individual term in a statement

• Restrictions: formally stated descriptions of what must be true in order for some assertion to be accepted as input

• Rules: statements in the form of an if-then (antecedent-consequent) sentence that describe the logical inferences that can be drawn from an assertion in a particular form

• Axioms: assertions (including rules) in a logical form that together comprise the overall theory that the ontology describes in its domain of application

• Events: the changing of attributes or relations



EIM and Information Modeling

• EIM allows for two types of Information Modeling– Top Down – a model is created from an analysis

effort– Bottom Up – the system implies a model based on

word meanings



EIM Concepts

• Layered Architecture

• Data Virtualization

• Information Understanding

• Information Analytics

• Dissemination



EIM Concepts: Layered ArchitectureVisualization

DData Virtualization (No data duplication necessary)EIM

Browsers Client UI Cell Smart Phone

Metadata

Information AnalyticsAc

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Infra

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Business Data



EIM Concepts: Data Virtualization

• Concept for the ability to create a virtual data warehouse that can:– Consume and publish data from the stove pipes in

near real time, hence solving the latency issue– Never permanently store the data to disk. Data is in

flight, not at rest, which solves the multiple location issue

– Provide a multi dimensional model to bring the data together, therefore solving the relationship issue



EIM Concepts: Information Understanding

The ability to apply the information consumed from the enterprise to be applied to the model and domain in order to gain an understanding of information contextual meaning.



EIM Concepts: Information Analytics

Once we understand information…How do we turn it into information?

or

EIM allows us to apply context such as relationships, time, space, geography, dollars etc.



EIM Concepts: Dissemination

• The ability to disseminate information and analysis of information in a timely fashion to a prescribed set of users

• Dissemination can occur in many forms, portal, alerts, RSS, SMS etc.



EIM Concepts: Information Governance

The need for information governance is driven by:– Security– PII– Other information privacy policies, perceptions and

standards

CollectCollect DiscoverDiscover Manage UnderstandUnderstand Analyze DisseminateDisseminate



Challenges of Implementing EIM

• Lack of Transparency• Lack of control• Security• Service level

presented to: by: date: federal aviation administration enterprise information management soa brown...

Documents

eim slide

enterprise slide

wisdom eim

integration of enterprise

enterprise environment

nonstructured data eim

entire enterprise

information semantics