| 1 - Data Management Process Big Data Data Architecture.mp4 | 218.6 MB | ||
| 10 - Data Storage and Operations.mp4 | 58.2 MB | ||
| 11 - Data Warehousing and Business Intelligence.mp4 | 53.9 MB | ||
| 12 - Metadata Management.mp4 | 66.7 MB | ||
| 2 - Document and Content Management.mp4 | 73.7 MB | ||
| 3 - Data Ethics.mp4 | 52.5 MB | ||
| 4 - Data Governance.mp4 | 59.6 MB | ||
| 5 - Data Integration and Interoperability.mp4 | 84.8 MB | ||
| 6 - Master and Reference Data Management.mp4 | 73.6 MB | ||
| 7 - Data Modelling and Design.mp4 | 54.7 MB | ||
| 8 - Data Quality.mp4 | 58.2 MB | ||
| 9 - Data Security.mp4 | 49.4 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Cdmp Course : Certified Data Management Professional (101)
https://DevCourseWeb.com
Published 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 904.03 MB | Duration: 1h 25m
CDMP, Exam preparation course, Crash course of Certified Data Management Professional (CDMP), Data security, Data ethics
What you'll learn
Understand the data management process, big data concepts, and data architecture principles.
nstrate proficiency in document and content management techniques.
Recognize the importance of ethical considerations in data handling and decision-making.
Implement effective data governance strategies to ensure data integrity and compliance.
nstrate the ability to integrate and ensure interoperability between different data sources.
Manage master and reference data effectively to maintain data consistency.
Develop data models and designs that align with organizational needs and goals.
Assess and improve data quality through data profiling and cleansing techniques.
Implement comprehensive data security measures to protect sensitive information.
Manage data storage efficiently and perform essential data operations.
Utilize data warehousing and business intelligence tools for informed decision-making.
Implement metadata management practices to enhance data discoverability and understanding.
Requirements
Basic skills and Ideas of Data management Process.
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