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Answer: Google Cloud Bigtable
The correct answer is Google Cloud Bigtable. Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is specifically designed for high-throughput, low-latency workloads, making it well-suited for real-time data processing. It also has native time-series data support, which makes it ideal for storing and querying data from IoT devices, like the 50,000 sensors in the weather-charting application scenario. Other options such as Google BigQuery, Google Cloud SQL, and Google Cloud Storage are less suitable for handling such high volumes of real-time data while maintaining performance and scalability.
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You are developing an accurate, real-time, weather-charting application that processes a high volume of data from IoT devices. Specifically, the application receives data from 50,000 sensors, each sending 10 readings per second in the form of a timestamp and sensor reading. Given the need for scalability, low-latency access, and handling time-series data, where should you store this data?
A
Google BigQuery
B
Google Cloud SQL
C
Google Cloud Bigtable
D
Google Cloud Storage
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