<?xml version="1.0" encoding="UTF-8"?><rss
version="2.0"	xmlns:content="http://purl.org/rss/1.0/modules/content/"	xmlns:wfw="http://wellformedweb.org/CommentAPI/"	xmlns:dc="http://purl.org/dc/elements/1.1/"	xmlns:atom="http://www.w3.org/2005/Atom"	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"	xmlns:slash="http://purl.org/rss/1.0/modules/slash/">	<channel><title>Laimoon.com</title><link>https://courses.laimoon.com/sitemap/rss</link>	    <description>Courses in Dubai, Abu Dhabi, Sharjah Diplomas, Degrees &amp; Doctorates - Laimoon Course Guide</description>	    <language>en-us</language>	    	    	    						<item><title><![CDATA[Certified Data Management Professional (CDMP)  - AiinoX , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Kingdom ]]></title><link>https://courses.laimoon.com/course/certified-data-management-professional-cdmp-aiinox/online</link>				  <description>				  <![CDATA[						<strong>Overview</strong><br
/><br
/>Organisations across the globe need knowledgeable data professionals who can help them better leverage their data assets in a world of ever-increasing data volumes and real-time business requirements.<br
/>The Certified Data Management Professional (CDMP) credential is a globally recognized certification and many organisations are asking for this certification (more than other certifications) as a mandatory requirement for employment in the data management field. The CDMP certificate shows that you are capable, knowledgeable and an expert in your field. Surveys show that CDMP-certified data management professionals earn more, and advance at a more rapid pace than their non-certified colleagues. The 4-day CDMP training includes the official exam and is a comprehensive training program to help data-driven professionals prepare for the certification requirements of the official CDMP exam.<br
/>All organisations need certainty that people who are managing this important strategic asset are qualified. Become a CDMP now and register today for this top data management professional training!<br
/><br
/><strong>Objective</strong><ul><li>Understand the Fundamentals of Data Management and Governance</li><li>Effectively Integrate Data Architecture with Modern Technologies</li><li>Implement Data Management Strategies</li><li>Master Key Data Management Skills</li><li>Navigate Advanced Data Management Topics</li></ul><br
/><strong>Who Should Attend</strong><br
/><br
/>This course is suitable for Data Professionals or those working with data including Data Administrator, Project Managers and others.<br
/><br
/><strong>Outlines</strong><br
/><br
/>DAY 1<br
/>Data management, data architecture and data governance (DAMA-DMBOK part I)<ul><li>Data management: relation with DAMA-DMBOK and the role of data governance</li><li>Introduction of knowledge areas</li><li>Data architecture: business, functional and technical architecture and the relation with enterprise and application architecture</li><li>Data architecture in relation with big data, data lakes, Data Warehouses (DWH), data virtualization and analytics/data science</li><li>Positioning, coherence and added value of the business and IT</li><li>Examples, use cases</li></ul><br
/>DAY 2<br
/>Metadata, reference and master data, Data Warehousing (DWH) and Business Intelligence (BI) (DAMA-DMBOK part 2)<ul><li>The new role of data: &lsquo;data as an asset&rsquo;</li><li>Action plans for implementation based on context diagrams</li><li>DMBOK as framework: backgrounds</li><li>Introduction and in-depth discussion of knowledge areas metadata, reference &amp; master data, Data Warehousing (DWH) &amp; Business Intelligence (BI)</li></ul><br
/>DAY 3<br
/>Data modelling and design, data quality, data integration, storage, security (DAMA-DMBOK part 3)<ul><li>Introduction and in-depth discussion of data modelling and design, data quality, data integration, storage, security</li></ul><br
/>DAY 4<br
/>Documents and content management, big data and data science, data privacy and ethics, Data Management Maturity Model (DIY) (DAMA DMBOK part 4)<ul><li>Introduction and in-depth discussion of documents and content management, big data and data science, data privacy and ethics</li><li>Introduction and application of the DAMA Data Management Maturity Model</li><li>CDMP exam preparation</li></ul><p>Cost: 4760 USD</p><p>Duration: 4 Days</p>					]]>				  </description>				  <pubDate>Tue, 13 Aug 2024 14:21:39 +04</pubDate>				</item> 					</channel></rss>