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You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?
Suggested Answer:C🗳️
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads. Good for: ✑ Low-latency read/write access ✑ High-throughput analytics ✑ Native time series support Common workloads: ✑ IoT, finance, adtech ✑ Personalization, recommendations ✑ Monitoring ✑ Geospatial datasets ✑ Graphs Reference: https://cloud.google.com/storage-options/
To optimize the performance of an accurate, real-time, weather-charting application that receives data from 50,000 sensors sending 10 readings per second, it would be most appropriate to store the data in a distributed, horizontally scalable, NoSQL database such as Google Cloud Bigtable
Other options, such as Google BigQuery, Google Cloud SQL, and Google Cloud Storage, may not be as well-suited for handling high volumes of real-time data and may not provide the same level of performance and scalability as Google Cloud Bigtable.
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