- Access from storage to compute servers within the region
- Scaling without downtime
- Time to market for data-intensive applicat
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Which of these statements best expresses what you can do with Cloud Dataflow?
“I need access to near real-time reports, even if the data is speculative or sampled.” “I wish I could run queries to organize my batch data.” “I need to know what customers are doing right now, and I need to find out using my existing Hadoop tools.” “I need to transfer my data from my […]
Machine learning is a branch of computer science that:
Is a tool for developing and executing a wide range of data processing patterns on very large datasets. Is how you retrieve information from a database. Is focused on enabling computers to recognize patterns in data—without humans telling the computer how to recognize the patterns. Is a service to help capture data and rapidly pass massive […]
What aspect of Cloud Datastore allows organizations to worry less about making changes to their underlying data structure as their application evolves?
The object-oriented database with containerized applications. The schemaless document-oriented database with ACID transactions. The relational database with configuration and downtime. The warehouse database with a proven production system. Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)