Topic 1 Question 16
You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute. With bursts of up to 8,500 clicks per second. It must have been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?
Google Cloud SQL
Google Cloud Bigtable
Google Cloud Storage
Google Cloud Datastore
解説
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 Incorrect Answers: C: Google Cloud Storage is a scalable, fully-managed, highly reliable, and cost-efficient object / blob store. Is good for: ✑ Images, pictures, and videos ✑ Objects and blobs ✑ Unstructured data D: Google Cloud Datastore is a scalable, fully-managed NoSQL document database for your web and mobile applications. Is good for: ✑ Semi-structured application data ✑ Hierarchical data ✑ Durable key-value data ✑ Common workloads: ✑ User profiles ✑ Product catalogs ✑ Game state Reference: https://cloud.google.com/storage-options/
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コメント(17)
B. Google Cloud Bigtable
👍 11victory1082021/07/04B, Bigtable due to the IoT like requirements
👍 7jeff0012021/04/10B. Google Cloud Bigtable because it supports : a) the low latency + high throughput workloads are required in this use-case to support 8500 clicks events per second. b) the OLAP use case to integrate and analyse this data with various ML and data-science services.
👍 3AashishAggarwal20002022/08/09
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