This course provides essential skills for modernizing data architectures by adopting a data-as-a-product approach. It emphasizes building modular, scalable systems to enhance data management and unlock greater value from data assets.

Managing Data as a Product: Scalable Data Architectures
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您将学到什么
Overcome challenges in scaling monolithic data platforms
Adopt a data-as-a-product approach for sustainable growth
Navigate the full lifecycle of data products from inception to decommissioning
您将获得的技能
- Data Modeling
- Data Integration
- Semantic Web
- Scalability
- Information Architecture
- Software Architecture
- Data Governance
- Data Infrastructure
- Data Architecture
- Solution Architecture
- Generative AI
- Data Analysis
- Data Management
- Distributed Computing
- Data Strategy
- Microservices
- Maintainability
- Enterprise Architecture
- Software Design
- CI/CD
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要了解的详细信息

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12 项作业
October 2025
了解顶级公司的员工如何掌握热门技能

该课程共有12个模块
In this section, we examine monolithic data platforms' limitations and explore modular approaches to reduce accidental complexity and improve system sustainability through data product strategies.
涵盖的内容
2个视频8篇阅读材料1个作业
In this section, we define data products and pure data products, analyze their structure and characteristics, and explore methods for classifying them to enhance data utilization.
涵盖的内容
1个视频8篇阅读材料1个作业
In this section, we examine data-product-centered architecture design, operational and management planes, and alternative data management approaches for scalable, adaptable solutions.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we explore domain-driven design and event storming to identify data products, and manage their portfolio for business alignment and operational coherence.
涵盖的内容
1个视频8篇阅读材料1个作业
In this section, we examine data product design, interactions, and implementation, focusing on metadata management, machine-readable descriptors, and data flow processes for scalable solutions.
涵盖的内容
1个视频8篇阅读材料1个作业
In this section, we explore deploying data products using CI/CD, governing them with policies, and managing their evolution to ensure reliability and alignment with organizational standards.
涵盖的内容
1个视频9篇阅读材料1个作业
This section covers automating data product lifecycle management with XOps, focusing on platform capabilities and implementation strategies.
涵盖的内容
1个视频6篇阅读材料1个作业
In this section, we explore the adoption phases of data as a product, focusing on challenges, strategies, and adaptive data governance to ensure sustainable and scalable implementation.
涵盖的内容
1个视频8篇阅读材料1个作业
In this section, we explore team topologies and data ownership strategies to optimize organizational structures for scalable data product delivery and efficient team collaboration.
涵盖的内容
1个视频9篇阅读材料1个作业
In this section, we explore distributed data modeling techniques, focusing on physical and conceptual approaches to design explicit models for data products in decentralized systems.
涵盖的内容
1个视频11篇阅读材料1个作业
In this section, we explore building an AI-ready information architecture by designing a knowledge plane for semantic interoperability and constructing an enterprise knowledge graph for AI integration.
涵盖的内容
1个视频7篇阅读材料1个作业
This section covers core beliefs and organizational changes for effective data management.
涵盖的内容
1个视频4篇阅读材料1个作业
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