Emerging Data Trends: Unlocking Data Observability

Data    |    Intermediate
  • 11 videos | 57m 28s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Data is the driving force behind strategic decision-making, and the most successful organizations are the ones that recognize and champion understanding the health and performance of their data systems. They recognize the need for knowledge and skills in order to harness the full potential of data in our rapidly evolving digital world. In this course, you will unlock data observability, beginning with an introduction to data observability, benefits and challenges of data observability and the data observability framework. Then you will dive a little deeper and compare data observability to data quality. Next, you will explore data observability tools, different types of data observability, and data observability best practices. Finally, you will discover data observability use cases and the importance of having a data observability strategy.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe data observability and its significance in the modern data landscape
    Outline benefits and challenges of data observability
    Provide an overview of why organizations might need a data observability framework
    Outline similarities and differences between data observability and data quality
    Outline popular data observability tools
  • Describe the three types of observability (infrastructure, data, and machine learning)
    Provide an overview of best practices for data observability
    Outline data observability use cases
    Describe the purpose of an observability strategy and how to develop one
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 2s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 7m 50s
    After completing this video, you will be able to describe data observability and its significance in the modern data landscape. FREE ACCESS
  • Locked
    3.  Benefits and Challenges of Data Observability
    5m 53s
    Upon completion of this video, you will be able to outline benefits and challenges of data observability. FREE ACCESS
  • Locked
    4.  The Data Observability Framework
    6m 39s
    After completing this video, you will be able to provide an overview of why organizations might need a data observability framework. FREE ACCESS
  • Locked
    5.  Data Observability vs. Data Quality
    6m 15s
    Upon completion of this video, you will be able to outline similarities and differences between data observability and data quality. FREE ACCESS
  • Locked
    6.  Data Observability Tools
    6m 33s
    In this video, we will outline popular data observability tools. FREE ACCESS
  • Locked
    7.  Types of Observability
    5m 30s
    After completing this video, you will be able to describe the three types of observability (infrastructure, data, and machine learning). FREE ACCESS
  • Locked
    8.  Data Observability Best Practices
    5m 55s
    Upon completion of this video, you will be able to provide an overview of best practices for data observability. FREE ACCESS
  • Locked
    9.  Data Observability Use Cases
    5m 30s
    After completing this video, you will be able to outline data observability use cases. FREE ACCESS
  • Locked
    10.  Data Observability Strategy
    5m 47s
    Upon completion of this video, you will be able to describe the purpose of an observability strategy and how to develop one. FREE ACCESS
  • Locked
    11.  Course Summary
    35s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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