Azure Data Fundamentals: Semi-Structured & Unstructured Data
Azure 2024
| Beginner
- 9 videos | 44m
- Includes Assessment
- Earns a Badge
Semi-structured and unstructured data types comprise the majority of the data generated today. They offer valuable insights for decision-making and trend analysis, are pivotal for training AI and machine learning models, and are essential for advanced analytics techniques in the era of big data. In this course, learn about the characteristics that define semi-structured data, including how it compares to structured and unstructured formats. Next, explore the practical uses of semi-structured data in various scenarios and how to index nested JSON blobs in Azure. Finally, examine unstructured data, industry-specific case studies, and storing and managing large volumes of unstructured data using Azure. This course is one of a collection that prepares learners for the DP-900: Microsoft Azure Data Fundamentals exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Describe semi-structured data and the characteristics and differences between structured and unstructured data
Outline how to use semi-structured data in scenarios like log analysis, data interchange, and cloud storage
Index nested json blobs in azure to improve search and query performance in complex json structures
Recognize what unstructured data is, its characteristics, and the challenges of storing and processing it -
Identify real-world applications of unstructured data in industries like media, healthcare, and social media analytics
Store unstructured data in azure and the best practices for managing large volumes of varied data types
Use azure blob storage to store, manage, and retrieve large amounts of unstructured data
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 5sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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4m 37sAfter completing this video, you will be able to describe semi-structured data and the characteristics and differences between structured and unstructured data. FREE ACCESS
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3. Semi-Structured Data Use Cases2m 50sUpon completion of this video, you will be able to outline how to use semi-structured data in scenarios like log analysis, data interchange, and cloud storage. FREE ACCESS
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4. Indexing Nested JSON Blobs in Azure11m 36sDiscover how to index nested JSON blobs in Azure to improve search and query performance in complex JSON structures. FREE ACCESS
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5. Unstructured Data5m 20sThrough this video, you will be able to recognize what unstructured data is, its characteristics, and the challenges of storing and processing it. FREE ACCESS
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6. Unstructured Data Use Cases4m 18sIn this video, we will identify real-world applications of unstructured data in industries like media, healthcare, and social media analytics. FREE ACCESS
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7. Storing Unstructured Data5m 49sDuring this video, you will learn how to store unstructured data in Azure and the best practices for managing large volumes of varied data types. FREE ACCESS
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8. Using Azure Blob Storage with Unstructured Data7m 24sIn this video, find out how to use Azure Blob Storage to store, manage, and retrieve large amounts of unstructured data. FREE ACCESS
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9. Course Summary1m 1sIn 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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