Udemy

Data Management Essentials

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  • 516 Students
  • Updated 8/2020
3.9
(139 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 17 Minute(s)
Language
English
Taught by
Filippo Candela
Rating
3.9
(139 Ratings)

Course Overview

Data Management Essentials

Turn your company into a data-driven organization with the professional course in Data Management!

The course "Data Management Essentials" is based on the Data Management framework created by DAMA, the most important association of Data Managers at international level. The lectures explore the various components of Data Management, blending theoretical lessons with a very practical content, a case study of application of interventions and solutions on the topic of data management.


The course is intended for all those who wish to enrich their competence and their mindset on the subject of data, going beyond the more traditional topics of data analysis, touching with hand how many and what are the fundamental components to make real data management in organizations.

Course Content

  • 14 section(s)
  • 29 lecture(s)
  • Section 1 Introduction
  • Section 2 Data Governance
  • Section 3 Data Architecture
  • Section 4 Data Modeling & Design
  • Section 5 Data Storage & Operations
  • Section 6 Data Security
  • Section 7 Data Integration and Interoperability
  • Section 8 Document and Content Management
  • Section 9 Reference and Master Data
  • Section 10 Data Warehousing & Business Intelligence
  • Section 11 Metadata
  • Section 12 Data Quality
  • Section 13 BONUS! Big Data & Data Science
  • Section 14 Conclusions

What You’ll Learn

  • Transforming your organization into a data-driven reality, Have a 360° view of how data fits into organizational processes and activities, Understand data architectures, metadata, data quality, business intelligence and big data


Reviews

  • D
    Deepashri Amrutkar
    3.0

    Case studies could have been better and elaborative. Overall a basic overview and does not give much relevance

  • M
    Mabz Njozela
    5.0

    The course was good. Perhaps look at the subtitles as the are not sometimes accurate and that could be helpful especially when a lecturer speaks English with an accent.

  • M
    Massoud Loodin
    4.0

    Really like the course - very well explained. The only problem is on chapter 8 +9 data model makers - the PDF are not accessible.

  • C
    Catherine Jones
    3.0

    Some of the slides have clear errors on (translations not fully completed, spelling errors) which detracts from the information and I lose confidence in the material provided. These errors have been highlighted by plenty of users and the fact it hasn't been corrected is another concern. Some diagrams are not particularly clear or explained very well.

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