Q&A
Ask and answer questions to make information more available to wider audiences.
answers 2
Answer 1
Samuel Bycraft
@samuelbycraft 03, Apr 2023 04:19 PM
You can use Bigtable to store and query all of the following types of data:
Time-series data, such as CPU and memory usage over time for multiple servers.
Marketing data, such as purchase histories and customer preferences.
Financial data, such as transaction histories, stock prices, and currency exchange rates.
Internet of Things data, such as usage reports from energy meters and home appliances.
Graph data, such as information about how users are connected to one another.
Answer 2
Samuel Bycraft
@samuelbycraft 03, Apr 2023 04:11 PM
Bigtable is ideal for applications that need high throughput and scalability for key/value data, where each value is typically no larger than 10 MB. Bigtable also excels as a storage engine for batch MapReduce operations, stream processing/analytics, and machine-learning applications.