Question-39: Processing and analysis of data records is what's referred to as streaming analytics, and it happens in real time rather than in batches. Streaming analytics is beneficial for the sorts of data sources that deliver data in tiny amounts (typically in kilobytes) in a continuous flow as the data is created. In general, this form of data source is referred to as streaming data. Your organization has finished its transition to the cloud and is now ready to begin analyzing its data stream in order to improve business operations. Since they do not already have any code for this analysis, they are looking at all of their potential solutions at the moment. These choices include a combination of batch processing and stream processing, since certain hourly operations are being carried out and some data is being processed in real time as it is received. Different types of data streams Sensor readings from machines. e-Commerce purchase data. Stock exchange data to predict the stock price. Credit card transactions for fraud detection. Social media sentiment analysis. Which technology should they use for this?
A. Google Cloud Dataproc
B. Google Cloud Dataflow
C. Google Container Engine with Bigtable
D. Google Compute Engine with Google BigQuery

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