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Data Management - Fundamentals and Solutions
Learn essential data technologies, operating models, and practical solutions for modern data management
5.026 reviews2,036 learners
- All Levels
- 5h 0m video
- 26 lectures
- English
- Captions
- Updated 2025
Taught by Albert Fabritius
- 5h 0m of on-demand video
- 26 lectures across 4 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
4 sections26 lectures5h 0m total
- Introduction & Blind Spot8:43
- Course Content2:39
- Data Management & its 5 Dimensions12:37
- Evolution Curve of Organizational Data Management13:57
- Data Science vs Data Engineering8:05
- Solution Ecosystem3:00
- Cloud9:54
- Core Functionalities10:11
- Integrations6:37
- Queries12:12
- ETL-ELT14:34
- OLTP vs OLAP14:53
- OLAP Architectures8:38
- Data Warehouse vs Data Lake8:23
- RPA13:24
- Artificial Intelligence AI16:58
- Scheduler Orchestrator5:41
- Architectures14:29
- Reporting and Analytics6:31
- Inhouse vs Outsourcing9:55
- Support Model9:15
- Agile Methodology6:23
- Data Governance22:53
- Skills and Knowledge13:34
- Provider & Implementation16:09
- Tool Demo30:37
About this course
In today’s data-driven world, organizations depend on fast, reliable, and well-structured data to make smarter decisions. Yet many teams still struggle with scattered systems, inconsistent processes, and a lack of clarity around how data should actually be managed. This course provides a clear and practical introduction to modern Data Management, giving you a solid foundation in the essential technologies that power successful data ecosystems—ETLs, integrations, data lakes, and data warehouses. You’ll learn how the…
Before you start
- Basic Data Management Knowledge: A basic understanding of everyday data challenges is helpful.
- No Advanced Skills Needed: No prior programming experience or advanced technological knowledge is required. You’ll learn everything you need to succeed.
Who it’s for
- Aspiring Chief Data Officers: Professionals aiming to become Chief Data Officers.
- Decision Makers: Leaders seeking to enhance their organization’s data management capabilities.
- Data Analysts: Analysts who face challenges with their current toolsets and are looking for more effective solutions.
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