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?

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?
A . Google BigQuery
B . Google Cloud SQL
C . Google Cloud Bigtable
D . Google Cloud Storage

Answer: C

Explanation:

It is time-series data, So Big Table. https://cloud.google.com/bigtable/docs/schema-design-time-series

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

References: https://cloud.google.com/storage-options/