Chapter 5

1. False – data modeling is applicable for all kinds of databases.
2. The benefit of performing a data modeling exercise is to select appropriate storage solutions such as a database and a schema.
3. The relevance of ETL architectures for edge solutions is that we can define multiple data processing paths based on the data's velocity (Lambda architecture). For example, an edge solution can inspect individual sensor measurements to detect alarming peaks while forwarding measurements in bulk to the cloud for cheaper storage.
4. False – Lambda architecture is a pattern distinct from the Amazon Web Services offering of the same name.
5. One benefit for data processing at the edge is to perform data cleansing and filtering steps on noisy analog data close to the source before incurring costs of transmitting and storing data on the cloud, where the data may not be used at all.
6. The minimum component of Greengrass needed to run is the nucleus.
7. False...