Summary
In this chapter, we learned about different ways of processing data in AWS. We also learned the capabilities in terms of extending our data centers to AWS, migrating data to AWS, and the ingestion process. We also learned the various ways of using the data to process it and make it ready for analysis in our way. We understood the magic of having a data catalog that helps us to query our data via AWS Glue and Athena.
In the next chapter, we will learn about various machine learning algorithms and their usages.
Questions
- If you have a large number of IoT devices sending data to AWS to be consumed by a large number of mobile devices, which of the following should you choose?
A. SQS standard queue
B. SQS FIFO queue
C. Kinesis stream
- If you have a requirement to decouple a high-volume application, which of the following should you choose?
A. SQS standard queue
B. SQS FIFO queue
C. Kinesis stream
- Which of the following do I need to change to improve the performance...