New Operational Data Architecture Courses in partnership with eLearningCurve.com
In today’s data-driven world, a strong data architecture is critical for businesses to extract maximum value from their information.
Master Data Management is excited to two new online courses focusing on Operational Data Architecture (ODA).
The Importance of Operational Data Architecture
For decades, data architecture practices have primarily concentrated on managing analytical data.
However, the operational data landscape has undergone a significant transformation, encompassing automation, IoT systems, and a wider range of data platforms.
This surge in complexity necessitates a dedicated focus on ODA to ensure data accuracy, consistency, and accessibility.
Implementing a robust ODA strategy empowers organizations to:
- Streamline operations: Optimize data flow and improve decision-making processes.
- Enhance data quality: Minimize data disparity and ensure data integrity.
- Increase agility: Foster faster response times to changing business needs.
- Reduce costs: Minimize data sprawl and simplify data management practices.
Master Operational Data Architecture with eLearningCurve.com
The new eLearningCurve.com courses provide a comprehensive learning experience for individuals seeking to strengthen their ODA expertise.
This two-part program delves into the complexities of operational data management, equipping participants with the knowledge and skills to build and maintain effective ODA solutions.
Part 1: The Operational Data Landscape
This introductory data architecture course lays the groundwork for understanding today’s operational data ecosystem.
Participants will gain insights into:
- The evolution of operational systems and data types.
- Key architectural concepts like Data Lakes, Data Fabrics, and Data Mesh.
- The diverse operational data platforms and their characteristics.
- The impact of global variations and mobile data on operational data management.
- The roles of Master Data Management (MDM) and Reference Data Management (RDM).
Part 2: Architectural Data Management
Building upon the foundation established in Part 1, this advanced course dives deeper into architectural practices and techniques for managing operational data.
Key takeaways include:
- Strategies to combat data sprawl and disparity.
- Management practices for distributed, homogeneous, and heterogeneous data.
- Methods for resolving data conflicts, including semantic and schema inconsistencies.
- The application of MDM and RDM principles for optimized data governance.
- Design techniques for crafting adaptable and future-proof data architectures.
Who Should Attend?
These courses are geared towards:
- Data architects (current and aspiring)
- Data scientists and data engineers
- Data warehousing and data lake designers/developers
- Data and information systems program/project managers
- Benefits of eLearning with eLearningCurve.com
eLearningCurve.com offers a convenient and flexible learning platform, allowing participants to access the courses at their own pace.
The platform provides a rich learning experience with interactive modules, downloadable resources, and self-assessment quizzes.
Master Data Management and eLearningCurve.com are committed to fostering data-driven success for businesses.
This new course series empowers individuals to master the art of operational data architecture, enabling them to contribute to improved business agility, efficiency, and decision-making capabilities.
About eLearningCurve.com
eLearningCurve.com is a leading provider of online training solutions for IT professionals.
With a comprehensive library of courses, eLearningCurve.com empowers individuals to stay ahead of the curve in the ever-evolving technology landscape.
Contact:
Master Data Management
011 485 4856
Or login to our website to download our entire course catalog and pricelist: https://www.masterdata.co.za/index.php/elearning-proposal
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