Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations.
They do not have any existing code for this analysis, so they are exploring all their options.
These options include a mix of batch and stream processing, as they are running some hourly jobs and live- processing some data as it comes in.
Which technology should they use for this?
Click on the arrows to vote for the correct answer
A. B. C. D.B.
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
https://cloud.google.com/dataflow/Based on the scenario, the company needs to analyze their data stream to optimize operations. They have a mix of batch and stream processing requirements, which means they have some hourly jobs that require batch processing and live processing for some data as it comes in.
Option A: Google Cloud Dataproc is a managed Apache Hadoop and Spark service that allows batch processing of large data sets using clusters of virtual machines. It is an excellent option for batch processing, but it does not support stream processing. Since the company has a mix of batch and stream processing, Google Cloud Dataproc might not be the best option.
Option B: Google Cloud Dataflow is a fully managed service that allows for batch and stream processing using Apache Beam technology. It is a great option for the company as it can handle both batch and stream processing, making it a versatile tool for analyzing data streams to optimize operations.
Option C: Google Container Engine with Bigtable is a great option for companies that require NoSQL databases for their applications. However, it does not provide batch or stream processing capabilities, making it an unsuitable option for this scenario.
Option D: Google Compute Engine with Google BigQuery is a fully managed data warehouse that provides a scalable and cost-effective solution for batch processing of large data sets. It can handle batch processing but does not provide stream processing capabilities, which is a requirement for the company in this scenario.
Based on the above analysis, the best option for the company would be option B, Google Cloud Dataflow. It provides both batch and stream processing capabilities, making it an ideal tool for analyzing data streams to optimize operations.