Cloud Firestore is a flexible, scalable, realtime database where users can be notified when data changes in the cloud. Cloud Firestore is often used for mobile and web applications where there are multiple-clients who need to be kept in sync. In this course, Leveraging Google Cloud Firestore for Realtime Database Solutions, you will study the data model and practical usage of two realtime databases offered as a part of Firebase, Google’s mobile and web application development platform. First, you will explore Cloud Firestore, a highly, scalable and performant NoSQL database which allows for low latency create, read, update, and delete operations. Then, you will understand the basic data model of Firestore where documents help model hierarchical relationships. Next, you will see how you can secure data stored on Cloud Firestore, focusing on security rules which allow very granular specification of how data can be accessed from mobile and web client applications. Finally, you will delve into the original realtime database offering on Firebase, the Realtime Database. At the end of this course, you will have all the knowledge and skills to leverage the right realtime database for your use case, and structure data based on best practices for low latency and high performance.
Author Name: Janani Ravi
Author Description:
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing … more

Table of Contents

• Course Overview
  2mins
• Managing and Querying Data Using the Cloud Firestore API
  64mins
• Securing Data in Cloud Firestore Using Security Rules
  28mins
• Using Firebase Realtime Database
  38mins