GCP Data Engineer Pro: Google Cloud Semi-structured Data

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. 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.