Process Enhancements: Enterprise Data Platform & Systems Engineering

Systems Engineering    |    Intermediate
  • 14 videos | 1h 19m 3s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Process enhancements refer to the continuous improvement of systems engineering practices to optimize project outcomes. By implementing enhancements, systems engineers can ensure high-quality deliverables and robust systems. These improvements minimize errors, enhance reliability, and increase customer satisfaction. In this course, you will discover enterprise data platforms and systems engineering, beginning with enterprise data platforms and components of enterprise data platforms. Next, you will investigate the role of enterprise data strategy and find out how to build an enterprise data strategy. Then you will focus on data analysis and visualization, data protection and privacy, data modeling and integration modeling. You will examine warehousing, integration tools, and analytics and systems engineering. Finally, you will explore data-driven collaboration, dig into an enterprise data platform case study, and learn how to implement an enterprise data platform.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline key features and benefits of an enterprise data platform
    Describe key components and capabilities of an enterprise data platform for systems engineering
    Provide an overview of enterprise data integration, management, and governance
    Describe common techniques for building an enterprise data strategy
    Define data analysis and visualization and outline useful data analysis and visualization techniques
    Outline data security and privacy considerations and best practices for protecting sensitive information in the enterprise
  • Describe key considerations for data modelling and integration in an enterprise data strategy
    Identify popular tools for data modeling, data warehousing, and data integration
    Outline useful data analytics methods and techniques
    Outline key elements and best practices of data-driven collaboration and knowledge sharing
    Describe a real-world example of enterprise data platform implementation
    Develop a roadmap for implementing and leveraging an enterprise data platform within a systems engineering context, considering organizational requirements, data sources, and system integration
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 6s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 28s
    After completing this video, you will be able to outline key features and benefits of an enterprise data platform. FREE ACCESS
  • Locked
    3.  Components of Enterprise Data Platforms
    6m 8s
    Upon completion of this video, you will be able to describe key components and capabilities of an enterprise data platform for systems engineering. FREE ACCESS
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    4.  The Role of Enterprise Data Strategy
    6m 7s
    After completing this video, you will be able to provide an overview of enterprise data integration, management, and governance. FREE ACCESS
  • Locked
    5.  Building an Enterprise Data Strategy
    6m 9s
    Upon completion of this video, you will be able to describe common techniques for building an enterprise data strategy. FREE ACCESS
  • Locked
    6.  Data Analysis and Visualization
    6m 43s
    After completing this video, you will be able to define data analysis and visualization and outline useful data analysis and visualization techniques. FREE ACCESS
  • Locked
    7.  Data Protection and Privacy
    6m 17s
    Upon completion of this video, you will be able to outline data security and privacy considerations and best practices for protecting sensitive information in the enterprise. FREE ACCESS
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    8.  Data Modeling and Integration
    5m 45s
    After completing this video, you will be able to describe key considerations for data modelling and integration in an enterprise data strategy. FREE ACCESS
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    9.  Modeling, Warehousing, and Integration Tools
    7m 8s
    Upon completion of this video, you will be able to identify popular tools for data modeling, data warehousing, and data integration. FREE ACCESS
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    10.  Analytics and Systems Engineering
    6m 49s
    After completing this video, you will be able to outline useful data analytics methods and techniques. FREE ACCESS
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    11.  Data-driven Collaboration
    4m 57s
    Upon completion of this video, you will be able to outline key elements and best practices of data-driven collaboration and knowledge sharing. FREE ACCESS
  • Locked
    12.  Enterprise Data Platform Case Study
    5m 48s
    After completing this video, you will be able to describe a real-world example of enterprise data platform implementation. FREE ACCESS
  • Locked
    13.  Implementing an Enterprise Data Platform
    8m 46s
    In this video, you will learn how to develop a roadmap for implementing and leveraging an enterprise data platform within a systems engineering context, considering organizational requirements, data sources, and system integration. FREE ACCESS
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    14.  Course Summary
    50s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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