- Standard connectors and standard tools that allow for seamless integrations with existing SQL workﬂows.
- Regional buckets that enable faster access from storage to compute servers within the region.
- Fully managed relational database services that use edge caching to provide performance.
- Application patches and updates that optimize data processing when it comes to leveraging user data.
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 […]
An industry-leading local SDD that integrates with the other products in the Google Cloud Platform suite. An enterprise-grade database service built for the cloud speciﬁcally to combine the beneﬁts of relational database structure with relational horizontal scale. A ﬂexible, scalable NoSQL cloud database to store and sync data for client- and server-side development. A tool for […]
Worldwide autoscaling and load balancing Content delivery network Monitor app stability and performance More rapid application development Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)