&lt;p&gt;The Data Management Body of Knowledge v2 (DMBoK2) training program offered by Multimatics is designed to help participants gain the ability to compile data governance in several areas of knowledge in data management. Participants will also learn how to synchronize data management with the enterprise architecture framework so they are able to maximize the value of data for the company or organization. The training material is prepared based on the latest edition of Data Management Body of Knowledge v2 (DMBoK2), accompanied by discussions and exercises to work on the questions.&amp;nbsp;&lt;&#x2F;p&gt;

The Data Management Body of Knowledge (DMBoK2) training program offered by Multimatics is designed to help participants gain the ability to compile data governance in several areas of knowledge in data management.

Data Management Process

<ul><li class="ql-align-justify">Introduction of Big Data&nbsp;</li><li class="ql-align-justify">Big Data Activities&nbsp;</li><li class="ql-align-justify">Tools&nbsp;</li><li class="ql-align-justify">Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Big Data Governance&nbsp;</li></ul>

Big Data

<ul><li class="ql-align-justify">Introduction of Data Architecture&nbsp;</li><li class="ql-align-justify">Data Architecture Activities&nbsp;</li><li class="ql-align-justify">Tools&nbsp;</li><li class="ql-align-justify">Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Data Architecture Governance&nbsp;</li></ul>

Data Architecture

<ul><li class="ql-align-justify">Introduction of Document and Content Management&nbsp;</li><li class="ql-align-justify">Document and Content Management Activities&nbsp;</li><li class="ql-align-justify">Tools and Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Metrics&nbsp;</li></ul>

Document and Content Management

<ul><li class="ql-align-justify">Introduction of Data Ethics&nbsp;</li><li class="ql-align-justify">Data Ethics Activities&nbsp;</li><li class="ql-align-justify">Tools and Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Metrics&nbsp;</li></ul>

Data Ethics

<ul><li class="ql-align-justify">Introduction of Data Governance&nbsp;</li><li class="ql-align-justify">Data Governance for the Organization&nbsp;</li><li class="ql-align-justify">Tools and Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Metrics&nbsp;</li></ul>

Data Governance

<ul><li class="ql-align-justify">Introduction of Data Integration and Interoperability&nbsp;</li><li class="ql-align-justify">Data Integration Activities&nbsp;</li><li class="ql-align-justify">Data Integration and Interoperability Tools&nbsp;</li><li class="ql-align-justify">Data Integration and Interoperability Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Data Integration and Interoperability Governance&nbsp;</li></ul>

Data Integration and Interoperability

<ul><li class="ql-align-justify">Introduction of Reference and Master Data&nbsp;</li><li class="ql-align-justify">Reference and Master Data Activities&nbsp;</li><li class="ql-align-justify">Tools and Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Organization and Cultural Change&nbsp;</li><li class="ql-align-justify">Reference and Master Data Governance&nbsp;</li></ul>

Master and Reference Data Management

<ul><li class="ql-align-justify">Introduction of Data Modeling and Design&nbsp;</li><li class="ql-align-justify">Data Modeling Activities&nbsp;</li><li class="ql-align-justify">Tools&nbsp;</li><li class="ql-align-justify">Best Practices Data Modeling and Design&nbsp;</li><li class="ql-align-justify">Data Model Governance&nbsp;</li></ul>

Data Modelling and Design

<ul><li class="ql-align-justify">Introduction of Data Quality&nbsp;</li><li class="ql-align-justify">Data Quality Activities&nbsp;</li><li class="ql-align-justify">Tools&nbsp;</li><li class="ql-align-justify">Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Data Quality and Data Governance&nbsp;</li></ul>

Data Quality

<ul><li class="ql-align-justify">Introduction of Data Security&nbsp;</li><li class="ql-align-justify">Data Security Activities&nbsp;</li><li class="ql-align-justify">Data Security Tools&nbsp;</li><li class="ql-align-justify">Data Security Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Data Security Governance&nbsp;</li></ul>

Data Security

<ul><li class="ql-align-justify">Introduction of Data Storage and Operations&nbsp;</li><li class="ql-align-justify">Data Storage Activities&nbsp;</li><li class="ql-align-justify">Tools&nbsp;</li><li class="ql-align-justify">Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Data Storage and Operations Governance&nbsp;</li></ul>

Data Storage and Operations

<ul><li class="ql-align-justify">Introduction of Data Warehousing and Business Intelligence&nbsp;</li><li class="ql-align-justify">Data Warehousing and Business Intelligence Activities&nbsp;</li><li class="ql-align-justify">Tools&nbsp;</li><li class="ql-align-justify">Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">DW/BI Governance&nbsp;</li></ul>

Data Warehousing and Business Intelligence

<ul><li class="ql-align-justify">Introduction of Metadata Management&nbsp;</li><li class="ql-align-justify">Metadata Management Activities&nbsp;</li><li class="ql-align-justify">Metadata Management Tools&nbsp;</li><li class="ql-align-justify">Metadata Management Techniques&nbsp;</li><li class="ql-align-justify">Implementation Guidelines&nbsp;</li><li class="ql-align-justify">Metadata Governance&nbsp;</li></ul>

Data Management Body of Knowledge v2 (DMBoK2)

Examination

Program Objectives

Program Modules

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Data Management Body of Knowledge v2 (DMBoK2)

Examination

Program Objectives

Program Modules

02Big Data

03Data Architecture

04Document and Content Management

05Data Ethics

06Data Governance

07Data Integration and Interoperability

08Master and Reference Data Management

09Data Modelling and Design

10Data Quality

11Data Security

12Data Storage and Operations

13Data Warehousing and Business Intelligence

14Metadata Management

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Professional with Us!