- A managed environment for deploying containerized apps.
- An enterprise-grade, globally distributed, and strongly consistent managed database service built for the cloud speciﬁcally to combine the beneﬁts of relational database structure with non-relational horizontal scale.
- A fully managed database service that makes it easy to set up, maintain, manage, and administer relational MySQL and PostgreSQL databases in the cloud.
- A tool for developing and executing a wide range of data processing patterns on very large datasets.
An organization’s analysts use Spark Shell. However, their IT department is concerned about the increase in usage and how to scale their cluster, which is running in Standalone mode. How does Cloud Dataproc help?
Cloud Dataproc consolidates data marts into datasets and provides the ability to simply manage all datasets. Cloud Dataproc supports Spark and can create clusters that scale for speed and mitigate any single point of failure. Cloud Dataproc can act as a landing zone for log data at a low cost. Cloud Dataproc enables you to […]
By focusing on writing code and not touching a server, cluster, or infrastructure. By reducing costs. By improving quality and time to market. By using virtual machines (VMs) in the cloud. Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)
Cloud Firestore provides daily results for queries to show the changing data. Cloud Firestore provides multi-document ACID transactions for SQL databases. Cloud Firestore helps you schedule downtime for upgrades, resizing, or conﬁguration changes. Cloud Firestore takes care of scalability and operations for running document-oriented databases. Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)