As 10 Principais Razões para Migrar! 1. Sub-modelos 2. Separação Lógica/Física 3. Engenharia Reversa 4. Extensões de Metadata 5. Padrões de Nomenclatura 6. Compare e Merge 7. Macros 8. Universal Mappings 9. Suporte Nativo a Big Data 10. Repositório, Publicação e Colaboração E mais: • Engenharia reversa e geração de scripts precisos • Rápida e eficiente comparação de alterações • Controle de versões simplificado com repositório • Modelo lógico e múltiplos físicos para uma completa visão de projeto

1. EMBARCADERO TECHNOLOGIESEMBARCADERO TECHNOLOGIES
ER/StudioA solução definitiva para design de
dados, modelagem e colaboração

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Embarcadero Technologies

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Embarcadero Technologies
• Fundada em 1993
• 3.2 Milhões de Clientes - 97% do Fortune 2000
• 35+ Produtos Premiados – Inovação Constante
• 500+ Colaboradores em 29 Países

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Runs on Embarcadero

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ER/Studio Family

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• Engenharia reversa e geração de scripts precisos
• Rápida e eficiente comparação de alterações
• Controle de versões simplificado com repositório
• Modelo lógico e múltiplos físicos para uma completa visão de
projeto

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As 10 Principais Razões…
1. Submodelos
2. Separação Lógica/Física
3. Engenharia Reversa
4. Extensões de Metadata
5. Padrões de Nomenclatura
6. Compare e Merge
7. Macros
8. Universal Mappings
9. Suporte Nativo a Big Data
10. Repositório, Publicação e
Colaboração
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1: Submodels
• What is a Submodel?
– A collection of model objects relevant to a specific topic or
audience
– Breakdown of business areas/subjects
– Business decomposition
– Ideally, should be business focused
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1: ER/Studio Submodels - collapsed
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1: ER/ Studio Submodels – expanded
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2: Logical/Physical Model Separation
Data Management Body of Knowledge (DMBOK):
A data model is a representation of the data describing real-world
objects and the relationships between the objects, independent of
any associated process. Generally speaking, there are 3 levels of
data modeling that are utilized, in order of abstraction:
– Conceptual Models
– Logical Models
– Physical Models
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2: Conceptual Model - ER/Studio
• Abstract
• Business entities
• Business relationships
• Typically not fully attributed
• Typically not normalized
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Logical Model View

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2: ER/Studio – Logical/Physical Separation
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2: ER/Studio – Where Used
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3: Reverse Engineering
• The ability to create a data model by connecting to
an existing database
– Native connector
– ODBC
– Can also be SQL script rather than direct connection
• Vital to map & analyze complex data landscapes
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3: Reverse Engineering Wizard – ER/Studio
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3: Reverse Engineering – ER/Studio continued
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4: Metadata Extensions
• Definition and creation of additional metadata for
model objects
• Many uses
– Data governance
– Data quality
– Master data management
– Data retention policies
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4: ER/Studio – Attachment Setup
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4: Attachments on Diagrams
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4: ER/Studio – Attachments, Data Dictionary
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5: Naming Standards
• Extremely important
– Define
– Apply
– Enforce
• Represent real world
business objects
• Typically comprised of
– Business terms
– Abbreviation for each
– Template (specify order)
– Case
– Prefixes, Suffixes
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5: ER/Studio – Apply naming Standards
• Can invoke with other wizards
– General Physical Model
– Compare & Merge
– XML Schema Generation
– Model Validation
• Can apply to model or sub-model at any
time
• Either Direction
• Selective review/apply
• Enabled by loose model coupling
• Name lockdown (freeze names)
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Data Flow Model View: Transformations
CONFIDENTIAL – FOR INTERNAL USE ONLY

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6: Compare and Merge
• Compare Model (or sub-model) to
– Another model (sub-model)
– Database
• Where there are differences
– Characteristics to merge from source -> target specified
• Reports can be Generated
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6: ER/Studio Compare & Merge Scope
• Compare logical model to
– A physical model in the same .dm1 file.
– A logical model of another ER/Studio Data Architect data model.
– A physical model of another ER/Studio Data Architect data model.
• Compare physical model to
– The logical model of the same data model.
– Another physical model of the same data model that shares the same DBMS
platform (and version).
– A logical model of another ER/Studio Data Architect data model.
– A physical model of another ER/Studio Data Architect data model sharing the same
DBMS platform (and version).
– A live database.
– An SQL file.
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6: ER/Studio – Compare and Merge A
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6: ER/Studio – Compare and Merge B
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6: ER/Studio – Compare and Merge C

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6: ER/Studio – Compare and Merge D

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6: ER/Studio – Compare and Merge E

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6: ER/Studio – Compare and Merge F

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6: ER/Studio – Compare and Merge Script

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Compare and Merge

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7: Macros
• Scripting language to
– Apply automation within the tool
– Apply changes to model objects
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7: ER/Studio - Macros
• True language (SAX basic)
• Fully functional editor
• Automation interface
– Scriptable controls
– Automate repetitive tasks
– Event Handlers
• Some use cases
– Update objects
– Import/export metadata
– Change display properties
– Model layout
– Generation of physical DB metadata
• Extensive macro set shipped with product
– Can be copied, modified
– New can be built from scratch if desired
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8: Universal Mappings
• Ability to link “like” or related objects
– Within same model file
– Across separate model files
• Entity/Table level
• Attribute/Column level
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8: ER/Studio – Universal Mappings
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9: Native Support for Big Data
• Ability to model big data constructs
– Nested objects
– Nested object arrays
• Natively reverse engineer big data platforms
– Internal to tool as opposed to MetaWizard
• Forward engineering
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9: ER/Studio – Native Big Data Support
• MongoDB
– Versions 2.4 and 2.6
• Hadoop Hive
– Versions 0.12 and 0.13
• Capabilities
– Diagramming
– Reverse Engineering (JSON, BSON)
– DDL supported for Hive
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9: ER/Studio – Big Data Notation Enhancement
• Physical Model
– Objects instead of Tables
• Nested Objects
– “Is Contained In”
relationship type
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10: Repository, Publishing, Collaboration
• Support of large, collaborative teams
– Data architects, modelers
– Business analysts
– Business stakeholders
• Repository-based checkout, check-in
– Full sub-models
– Individual objects
• Publish & collaborate
– Web portal
– Native reports
• Business stakeholder active participation in creation of metadata
• Notifications
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10: Repository
• Model/submodel or individual object checkout
• Repository is relational database with many tables
• Named versions
• Branch & merge
• Business architect workspace check-in & checkout
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10: Publishing
• Portal Publishing (Team Server)
• Native Reports
– Html, rtf
– Clickable drill down to metadata in html
– Rtf can be augmented in a tool like word, then published
(rtf, pdf etc)
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• Powerful enterprise glossary & metadata collaboration
• Integrate key business terms and definitions with business systems
• View, store, and manage a single source of business definitions
• Attach business policies to daily workflows with contextual alerts
and tips

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10: ER/Studio Team Server – Model Explorer
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10: ER/Studio Team Server Core – Glossary/Terms
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Team Collaboration

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Data Source Registry

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Perguntas e Repostas
• Saiba mais sobre a família de produtos ER/Studio:
http://www.embarcadero.com/data-modeling
• Download de versões de teste:
http://www.embarcadero.com/downloads
• Contato:
– Fernando Rizzato
– fernando.rizzato@embarcadero.com
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