GCP Data Engineer Pro: Google Cloud Semi-structured Data

Google Cloud 2024    |    Intermediate
  • 17 videos | 1h 50m 57s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 3 users Rating 4.7 of 3 users (3)
Google Cloud's semi-structured data storage is vital for flexibility and scalability. It efficiently handles diverse data formats, supports rapid querying and analytics, and integrates seamlessly with other services, enabling businesses to derive insights and make data-driven decisions quickly. In this course, you will explore the practical applications of Firebase within the Google Cloud ecosystem, starting with the identification of use cases for Firebase and its integration with Google Cloud Services. Then delve into the Firebase Realtime Database, learning to establish, configure, and populate it with data. Next, you will shift focus to Firestore to create a data model for storing document-centric data and set up a Firestore Database. Finally, you will discover the NoSQL Google Cloud Bigtable, including schema design best practices, instance setup, and the intricacies of creating new tables, equipping you with the knowledge to effectively implement and manage NoSQL databases in real-world scenarios. This course is one of a collection that prepares learners for the Google Cloud Certified - Professional Data Engineer exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline reasons for using firebase and describe its relationship to google cloud services
    Identify the key use cases for implementing the firebase realtime database
    Stand up a realtime database in firebase, perform initial configuration, and add data
    Identify the key use cases for implementing the firestore service
    Describe the process of building a data model to store the document-centric data of firestore
    Stand up a firestore database in firebase, perform initial configuration, and add data
    Identify the use case for nosql google cloud bigtable
    Describe the best practices for schema design in bigtable
  • Stand up a bigtable instance and perform initial configuration
    Provide an overview of the process and key values in creating a new table in bigtable
    Create a nosql bigtable database and define its schema
    Upload data into bigtable and retrieve relevant data via query
    Describe the pricing options for semi-structured data and select the most appropriate model for a business case
    Identify common issues that can arise with firebase and how to troubleshoot them
    Identify common issues that can arise with bigtable and how to troubleshoot them
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 16s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 7m 53s
    After completing this video, you will be able to outline reasons for using Firebase and describe its relationship to Google Cloud Services. FREE ACCESS
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    3.  Firebase Realtime Database
    7m 44s
    Upon completion of this video, you will be able to identify the key use cases for implementing the Firebase Realtime Database. FREE ACCESS
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    4.  Provisioning a Realtime Database in Firestore
    5m 21s
    In this video, find out how to stand up a Realtime Database in Firebase, perform initial configuration, and add data. FREE ACCESS
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    5.  Indexed NoSQL with Firestore
    7m 2s
    After completing this video, you will be able to identify the key use cases for implementing the Firestore service. FREE ACCESS
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    6.  Firestore Data models
    7m 34s
    Upon completion of this video, you will be able to describe the process of building a data model to store the document-centric data of Firestore. FREE ACCESS
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    7.  Creating a Firestore Database
    9m
    Learn how to stand up a Firestore Database in Firebase, perform initial configuration, and add data. FREE ACCESS
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    8.  Using Cloud Bigtable
    6m 29s
    In this video, we will identify the use case for NoSQL Google Cloud Bigtable. FREE ACCESS
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    9.  Bigtable Schema Design
    8m 11s
    After completing this video, you will be able to describe the best practices for schema design in Bigtable. FREE ACCESS
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    10.  Provision a BigTable Instance
    8m 13s
    Upon completion of this video, you will be able to stand up a BigTable instance and perform initial configuration. FREE ACCESS
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    11.  Create a Bigtable Table
    6m 15s
    After completing this video, you will be able to provide an overview of the process and key values in creating a new table in Bigtable. FREE ACCESS
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    12.  Creating and Defining Data Storage in Bigtable
    5m 19s
    During this video, discover how to create a NoSQL Bigtable database and define its schema. FREE ACCESS
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    13.  Loading and Querying Data in Bigtable
    4m 5s
    Find out how to upload data into Bigtable and retrieve relevant data via query. FREE ACCESS
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    14.  Pricing Out Semi-structured Data Services
    6m 28s
    Upon completion of this video, you will be able to describe the pricing options for semi-structured data and select the most appropriate model for a business case. FREE ACCESS
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    15.  Troubleshooting Firebase
    8m 54s
    After completing this video, you will be able to identify common issues that can arise with Firebase and how to troubleshoot them. FREE ACCESS
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    16.  Troubleshooting BigTable
    10m 11s
    Upon completion of this video, you will be able to identify common issues that can arise with Bigtable and how to troubleshoot them. FREE ACCESS
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    17.  Course Summary
    1m 3s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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