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Data Management courseware based on CDMP Fundamentals

E-book Epub met watermerkbeveiliging Engels 2022 9789401808019
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Samenvatting

Besides the courseware publication, you are advised to obtain the 'DAMA DMBOK' publication Optionally, you can use the publication 'Data management: a gentle introduction' as inspiration for examples and quotes about the field of data management.

This material is intended to prepare participants for the CDMP exam by DAMA International. The courseware can only be ordered by partners and is based on the current version of the DAMA DMBOK. The material will be updated when new versions of DMBOK are published.

DAMA DMBOK is the industry reference for data management. It is published by DAMA International and is currently in its second version. The DMBOK is developed by professionals and can be seen as a collection of best practices. The domain of data management is divided into functional areas which are discussed in terms of definitions (what is it), goals (what are we trying to achieve), steps (what are typical activities), inputs/outputs, and participating roles.

Developing and sustaining an effective data management function is far from an easy task. The DMBOK framework is adopted by many organizations as the foundation for their data management function: standardized language and good practices speed up the learning process. After the training, you have an overview of the field of data management, its terminology, and current best practices.

Specificaties

ISBN13:9789401808019
Trefwoorden:Data Management, CDMP
Taal:Engels
Bindwijze:e-book
Beveiliging:watermerk
Bestandsformaat:epub
Aantal pagina's:160
Druk:1
Verschijningsdatum:7-7-2022
Hoofdrubriek:IT-management / ICT
ISSN:

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Inhoudsopgave

Reflection 8
Agenda 10
Data Management 13
Data(Management) strategy 21
Data Governance 23
Governance vs. Management 25
KPI dashboard 29
Data Architecture 35
Architecture 37
Architecture scope38
Frameworks 39
Enterprise data model 40
Data in motion & data at rest 41
Exercise: Data Governance & Data Architecture 42
Data Modeling & Design 48
Business drivers 50
Abstraction levels of data modeling 51
Modeling languages & schemas 54
Tools & techniques 55
Data Storage & Operations 61
DBA monitoring 64
Data Security 70
Data Integration & Interoperability 85
Considerations & Patterns 87
Virtualization 89
Document & Content Management 97
Reference & Master Data Management 105
Reference Data 107
Master Data 108
Patterns 109
In Practice 111
Data Warehousing & BI 117
Business intelligence 119
Data Warehouse Architectures 121
Big Data 124
Metadata Management 130
Types of metadata 132
Relationship with models 133
Metadata sources and repositories 134
Metadata architecture 135
Data Quality Management 143
Quality Dimensions 146
Process in practice 147
DQ Monitor 121 149
Exam 154
Practice Exams Info 159

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        Data Management courseware based on CDMP Fundamentals