Google Cloud Digital Leader: Working with Data

Google Cloud 2024    |    Beginner
  • 17 videos | 2h 5m 10s
  • Earns a Badge
Managing diverse data types effectively is crucial for modern organizations to drive informed decision-making and optimize operations. Understanding the characteristics and storage solutions for different data types enables businesses to harness the full potential of their data assets. In this course, you will learn about the historical challenges of working with data, including difficulties accessing, managing, and analyzing large volumes of diverse information. You will explore the characteristics of structured, semi-structured, and unstructured data, and the problem with data silos. Next, you will investigate the characteristics of various data storage systems, including relational databases for structured data with complex relationships, key-value stores for simple lookups, and document databases for semi-structured data. Then you will examine data warehouses and data lakes. Finally, you will discover how to choose the right storage paradigm based on specific use-cases and data requirements. You will examine the distinctions between first-, second-, and third-party data, analyze the data value chain, and learn about data governance. This course helps prepare learners for the Google Cloud Digital Leader certification exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Provide an overview of the historical challenges in working with data
    Describe the characteristics of structured data
    Describe types and examples of semi-structured data
    Outline the challenges and opportunities in working with unstructured data
    Define and mitigate the problem of data silos
    Analyze use cases and attributes of relational databases
    Analyze use cases and attributes of key-value stores
    Analyze use cases and attributes of document databases
  • List the benefits of data warehouses in data analytics applications
    List the benefits of data lakes for storing unstructured data
    Identify use cases of data lakes in big data and ai/machine learning (ml) processing
    Outline considerations in choosing the right storage technology
    Distinguish between first-, second-, and third-party data
    Outline the steps in the data value chain
    Define and analyze data governance
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 36s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 51s
    After completing this video, you will be able to provide an overview of the historical challenges in working with data. FREE ACCESS
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    3.  Characteristics of Structured Data
    6m 41s
    Upon completion of this video, you will be able to describe the characteristics of structured data. FREE ACCESS
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    4.  Characteristics of Semi-structured Data
    8m 46s
    After completing this video, you will be able to describe types and examples of semi-structured data. FREE ACCESS
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    5.  Characteristics of Unstructured Data
    6m 49s
    Upon completion of this video, you will be able to outline the challenges and opportunities in working with unstructured data. FREE ACCESS
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    6.  The Problem of Data Silos
    4m 22s
    After completing this video, you will be able to define and mitigate the problem of data silos. FREE ACCESS
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    7.  Characteristics of Relational Databases
    8m 14s
    Upon completion of this video, you will be able to analyze use cases and attributes of relational databases. FREE ACCESS
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    8.  Characteristics of Key-Value Stores
    6m 30s
    After completing this video, you will be able to analyze use cases and attributes of key-value stores. FREE ACCESS
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    9.  Characteristics of Document Databases
    5m 38s
    Upon completion of this video, you will be able to analyze use cases and attributes of document databases. FREE ACCESS
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    10.  Characteristics of Data Warehouses
    12m 29s
    After completing this video, you will be able to list the benefits of data warehouses in data analytics applications. FREE ACCESS
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    11.  Characteristics of Data Lakes
    8m 55s
    Upon completion of this video, you will be able to list the benefits of data lakes for storing unstructured data. FREE ACCESS
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    12.  Use Cases of Data Lakes
    5m 40s
    After completing this video, you will be able to identify use cases of data lakes in big data and AI/machine learning (ML) processing. FREE ACCESS
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    13.  Choosing the Right Storage Paradigm
    11m 24s
    Upon completion of this video, you will be able to outline considerations in choosing the right storage technology. FREE ACCESS
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    14.  First-, Second- and Third-party Data
    11m 19s
    After completing this video, you will be able to distinguish between first-, second-, and third-party data. FREE ACCESS
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    15.  The Data Value Chain
    7m 39s
    Upon completion of this video, you will be able to outline the steps in the data value chain. FREE ACCESS
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    16.  The Importance of Data Governance
    10m 1s
    After completing this video, you will be able to define and analyze data governance. FREE ACCESS
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    17.  Course Summary
    2m 18s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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