Google Professional Data Engineer
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You manage a network of 1000 sensors, each generating time series data at a rate of one metric per second, complete with timestamps. Currently, you're dealing with 1 TB of data, which grows by 1 GB daily. What's the best storage solution to efficiently access data for both retrieving a specific sensor's metric at a precise timestamp with low latency and conducting complex analytic queries once a day?
You manage a network of 1000 sensors, each generating time series data at a rate of one metric per second, complete with timestamps. Currently, you're dealing with 1 TB of data, which grows by 1 GB daily. What's the best storage solution to efficiently access data for both retrieving a specific sensor's metric at a precise timestamp with low latency and conducting complex analytic queries once a day?
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