Meta Data Management

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Meta Data Management

Philip A. Bernstein

Sergey Melnik

{philbe, melnik}@microsoft.com

Microsoft Research

S= eminar presented at ICDE, Boston, April 1, 2004

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Management

lMeta data =3D structural information

<= span style=3D'font-size:71%;font-weight:normal'>ØDB schema, interface defn, web site map, form defn= s, …

Table Defns

C++ interfaces

UML Architecture

VB interfaces

ER Diagram

Forms

Bill

Customer

Update

Marketing

Inventory

Authorize

Credit

Order

Entry

Schedule

Delivery

Business = 3;

Process<= /span>

Emp.Sal <

Emp.Mgr.Sal

Business Rules

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Problems

<= span style=3D'font-size:86%;font-weight:normal'>lData translation

<= span style=3D'font-size:86%;font-weight:normal'>lSchema evolution

<= span style=3D'font-size:86%;font-weight:normal'>lXML message translation

lApplication integration

lData warehouse loading

<= span style=3D'font-size:86%;font-weight:normal'>lER/UML design tools

<= span style=3D'font-size:86%;font-weight:normal'>lWrapper generation for SQL

<= span style=3D'font-size:86%;font-weight:normal'>lUI / 4GL generation

<= span style=3D'font-size:86%;font-weight:normal'>lDependency tracking

<= span style=3D'font-size:86%;font-weight:normal'>lLineage tracing

<= span style=3D'font-size:86%;font-weight:normal'>lInfo resource mgmt

<= span style=3D'font-size:86%;font-weight:normal'>lBinding, renaming

<= span style=3D'font-size:86%;font-weight:normal'>lSoftware build (make)

<= span style=3D'font-size:86%;font-weight:normal'>lConfiguration mgmt

Ø<= /span>

lMany data management applications primarily involve transformations of structured data

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Outline

<= span style=3D'font-weight:normal'>lIntroduction

<= span style=3D'font-weight:normal'>lMeta data problems

<= span style=3D'font-weight:normal'>lDesign patterns

<= span style=3D'font-weight:normal'>lSolution templates

<= span style=3D'font-weight:normal'>lResearch background

<= span style=3D'font-weight:normal'>lWrap up

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Why Meta Data is Important

lMany DB problems are easier to solve by manipulating meta data

<= span style=3D'font-weight:normal'>ØInstead of writing code

<= span style=3D'font-weight:normal'>ØInstead of manipulating data directly

<= span style=3D'font-weight:normal'>lMeta-data-based solutions all involve models (schemas) and mappings

<= span style=3D'font-weight:normal'>ØMappings - data transformation= s, queries, dependencies, …

<= span style=3D'font-weight:normal'>ØModel, manipulate, and generate them

<= span style=3D'font-weight:normal'>ØUsually, generate code from th= em

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

= Example: Object-Oriented Wrapper for SQL Tables

l= Manually program a wrapper for each table

<= span style=3D'font-weight:normal'>lThis is very repetitive work

lSo you write a program to generate a wrapper for each table

Interface i= s an OO <= i>class representing
<= i>a SQL table

Code to map OO operations =

to SQL operations

wrapper

SQL = Table

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

OO wrapper for SQL (cont’d)

SQL Defns

lThe wrapper generator does the following:

Ø= Imports each table definition into a model

Ø= Generates a model for the class wrapper

Ø= Generates a mapping from table to class

Ø= Generates code from the class model and mapping.

SQL model

Purc= haseOrder

OrdID

OrderDate

static void Main()

Console.WriteLine("Importing Schemas");

// transform both to trees

TransformXSDToTree transformXSDToTree =3D new TransformXSDToTree();

Graph tree1 =3D transformXSDToTree.Execute(graph1);

Graph tree2 =3D transformXSDToTree.Execute(graph2);

// linguistic similarity matrix

SimMatrix linguisticM= atrix =3D new SimMatrix(

= ; tree1, tree2,

}

Code

Class model

PurchaseOrder

OrdID

OrderDate

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file:///C:/56531A34/BernsteinMelnikICDE04_files/slide0113.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Meta Data Management

P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Example – Data Translation

<= span style=3D'font-size:88%;font-weight:normal'>lTransla= te data from one data model to another

<= span style=3D'font-size:88%;font-weight:normal'>lEither = write a program or generate it

Hierarchical Schema

Relational Schema

Purc= haseOrder

OrdID

OrderDate

Item= s

OrdID

I_Name

Item#

PO#

POdate

POLines

Prod#

PName

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta-data-Speak

data Employee Table

model =3D meta data Schema for the

Employee Table =

metamodel =3D = ; &n= bsp; Schema for “Table,”

meta-meta data “Column”, “Key,” …

meta-meta-model =3D Built-in types

me= ta- meta-meta data (usually hard-coded)

Meta-data-Speak English Example

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Outline

<= span style=3D'color:gray;font-weight:normal'>lIntroducti= on

<= span style=3D'font-weight:normal'>lMeta data problems

<= span style=3D'font-weight:normal'>lDesign patterns

<= span style=3D'font-weight:normal'>lSolution templates

<= span style=3D'font-weight:normal'>lResearch background

<= span style=3D'font-weight:normal'>lWrap up

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solution Template

Get a data manager for models and mappings

lUsually, it’s an object manager

<= span style=3D'font-size:86%;font-weight:normal;text-shadow:none'>ØOO programming language

<= span style=3D'font-size:86%;font-weight:normal;text-shadow:none'>ØOODB

lHence, meta-metamodel is the obje= ct manager’s built-in types= 3;

<= span style=3D'font-size:86%;font-weight:normal;text-shadow:none'>ØClasses, attributes, methods, objects

ØPlus operators to manipulate them= , such as = NewClass, NewAttribute, NewObject, WriteAttribute

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solution Template

Get a data manager for models and mappings<= /span>

Design metamodel(s) (e.g., f= or SQL schemas)

Table

Colu= mn

Key<= /b>

Data= type

If the meta-metamodel is

OO, then the metamodel

consists of class definitions

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13

P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solution Template

Get a data manager for models and mappings<= /span>

1

Design metamodel(s) (e.g., for SQL schemas)

2

M= odel

I= mporter

Model

=

=

=

SQL Defns

SQL
Metamodel

Instance-of

3
Build a model importer for e= ach metamodel

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14

P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solution Template

Get a data manager for models and mappings<= /span>

1

Design metamodel(s) (e.g., for SQL schemas)=

2

3

Build a model importer for e= ach metamodel

4
Invoke model importer(s)

M= odel

I= mporter

Model2 = ;

Model1 = ;

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15

P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solution Template

Get a data manager for models and mappings<= /span>

1

Design metamodel(s) (e.g., for SQL schemas)=

2

3

Build a model importer for e= ach metamodel

4

Invoke model importer(s)

DW schema

source schema

DW loading

target interfaces

source interfaces

App integration

target format

source format

Msg translation

target schema

source schema

Data translation

Model2

Model1

Problem

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16

P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solution Template

Get a data manager for models and mappings<= /span>

1

Design metamodel(s) (e.g., for SQL schemas)=

2

3

Build a model importer for e= ach metamodel

4

Invoke model importer(s)

5

Generate or design mappings

ER Model = ;

SQL Model = ;

generate<= /div>

Data Source M= odel = ;

Data Target M= odel = ;

design

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17

P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solution Template

Get a data manager for models and mappings<= /span>

1

Design metamodel(s) (e.g., for SQL schemas)=

2

3

Build a model importer for e= ach metamodel

4

Invoke model importer(s)

5

Generate or design mappings

6

Generate code: data / msg translat’n script,
app wrapper, ETL script, view defn’s, e= tc<= b>.

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Tabl= e

Column

Example – Data Translation

Meta
<= i>Models

Record

Field

Repeating Grou= p

Purc= haseOrder

OrdID

OrderDate

Item= s

OrdID

I_Name

Item#

Schemas

a.k.a.
Models

PO#

POdate

POLines

Prod#

PName

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

For each [po#, poD, poL] in PO

Insert [= po#, poD] into PurchaseOrder

For each [prod#, pN] in poL

Insert [prod#, po#, pN] into Items

End =

End

Generated <= /div>

data

translation

script

Purc= haseOrder

OrdID

OrderDate

Item= s

OrdID

I_Name

Item#

Schemas

= a.k.a.
<= i>Models

PO#

POdate

POLines

Prod#

PName

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Da= ta Problems

lData translation

lOO or XML wrapper generation for SQL DB

lUser-Interface / 4GL-program generation

lDesign tool support (DB, UML, …) =

ØModel generation, reverse engineering <= /span>

ØRound-trip engineering

lSchema evolution (applies to all scenarios)

lXML message translation for e-commerce =

lIntegrate custom apps with commercial apps<= /span>

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Problems (cont’d)

lData warehouse loading (clean & transform) = 3;

lLineage tracing (provenance)

lInformation resource management =

lDependency tracking

Ø= ;Impact analysis

Ø= ;Navigation between tools

lBinding, renaming

lSoftware build (make)

l= Version and configuration management

Ø= ;Release management

Ø= ;Product data management

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Solutions

lThey strongly resemble one another

<= span style=3D'font-weight:normal'>lWe characterize that resemblance

<= span style=3D'font-weight:normal'>ØPrototypical problems, or design patterns=

<= span style=3D'font-weight:normal'>ØSolution specifications, or solution templates

<= span style=3D'font-weight:normal'>ØPrimitive solution steps, or <= span style=3D'color:#FFCC29;mso-color-index:3'>operators =

<= span style=3D'font-weight:normal'>lGoals

ØA methodology to solve meta da= ta problems

ØUltimately, operator implementations to turn solution templates into solution programs

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Outline

<= span style=3D'color:gray;font-weight:normal'>lIntroducti= on

<= span style=3D'color:gray;font-weight:normal'>lMeta data problems

<= span style=3D'font-weight:normal'>lDesign patterns

<= span style=3D'font-weight:normal'>lSolution templates

<= span style=3D'font-weight:normal'>lResearch background

<= span style=3D'font-weight:normal'>lWrap up

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Data Design Patterns

lDesign pattern – a problem description consisting of&#= 13;

Ø= ;Input models and mappings
Ø= ;Output models and mappings <= /div>
Ø= ;Criteria for the output to be correct

Ø= ;An <= u>application specializes it to meta models and mapping languages

lSolution template – a sequence of operators producing the desired output

lOperato= rs – a single step that computes a model and/or mappings

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Operat= ors

lmap =3D Match (M1, M= 2)

Ø= ;Return a mapping between the two models

láM= 2, map12ñ =3D Mo= delGen(M1, metamodel2)

Ø= ;Return a model M2 that= is expressed in metamodel2 and is equivalent to model M1

láM= 3, map13, map23ñ = =3D Merge (= M1, M= 2, map)

Ø= ;Return the union of models M1 and M2

lmap3 =3D = Compose(map1, map2) =3D m= ap1 ○= map2

Ø= ;Return the composition of map1 and map2, which is a mapping from map1’s domain to map2’s range.

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Operat= ors (cont’d)

lmap3 =3D Confluence(map1, map2) =3D m= ap1 Å map2

Ø= ;Return the “merge” of mappings = map1 and = map2

láM= 2, map12ñ =3D Ex= tract(M1, map)

Ø= ;Return the sub-model of M1 that participates in th= e mapping map

láM= 2, map12ñ =3D Di= ff(M1, map)

Ø= ;Return the sub-model of M1 that does not participate in the mapping map

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Design Patterns

lMeta Modeling=

lModel Mapping=

lModel Generation

lModel Integration

lMapping Composition

lMapping Alignment

lChange Propagation

lModel Reintegration

Single

Operator

Solutions

SM: single operator are probably just the following: Model Generation, Mapping Composition, Mapping Alignment

Schema Reintegration -> Model Reintegration?

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Modeling

<= span style=3D'font-weight:normal'>lDesign pattern – develo= p a representation (i.e. metamodel) for models and mappings <= /span>

<= span style=3D'font-weight:normal'>lApplications – they all depend on this =

<= span style=3D'font-weight:normal'>lSolution template

= ØDesign a metamodel

= ØWrite Import & Export functions

<= span style=3D'font-weight:normal'>§ImportSQL, ImportXSD, ImportERD, …

ØToday, it is manual engineering design

= ØDesign once and reuse often

SM: changed “design patterns depend …” to “applicatio= ns depend …”

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Meta Modeling (cont’d)

<= span style=3D'font-weight:normal'>lThe Import function for models

<= span style=3D'font-weight:normal'>ØParse text

<= span style=3D'font-weight:normal'>ØCopy elements of the parsed fo= rm into a model that conforms to its metamodel

<= span style=3D'font-weight:normal'>lThe Import function for mappings

<= span style=3D'font-weight:normal'>ØSame as models but may require more semantic analysis

ØE.g., program dependencies, da= ta lineage

<= span style=3D'font-weight:normal'>ØFor some languages and mapping= metamodels, Export is hard (e.g., XSLT)

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Model Mapping

lDesign pattern – Design a mapping between two models and generate code from it=

M1

M2

map= = ;

lApplications

Ø= ;Data translation

Ø= ;XML message translation for e-commerce =

Ø= ;Integrate custom and commercial apps

Ø= ;Data warehouse extract, transform & load <= /span>

lSolution templates

Ø= ;map =3D Match (M1, M= 2); Export(= map)

Ø= ;Mapping reuse: Compose, Confluence

SM: Moved from slide to comments: “Match is usually not fully automatable”. Added “Mapp= ing reuse” instead

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

An XML Mapping Tool

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

A Data Warehouse Loading Tool

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P.A. Bernstein, S. Melnik: Meta Data Management, ICDE'04 Boston

Model Generation

<= span style=3D'font-size:88%;font-weight:normal'>lDesign pattern – Given a model, generate an <= span style=3D'font-size:88%'>equivalent model in another metamodel

M1


	SM: single operator are probably just the following: Model Generation, Mapping Composition, Mapping Alignment
	Schema Reintegration -> Model Reintegration?


	SM: changed “design patterns depend …” to “applicatio= ns depend …”


	SM: Moved from slide to comments: “Match is usually not fully automatable”. Added “Mapp= ing reuse” instead