The layer in our Data Lake that interacts with the outside world is the serving layer. The layer where data in the lake is served to varied number for people according to the requirement. We will discuss in brief some of the important aspects that needs to be considered in regards to this layer. This layer does employ a number of technologies to help serve data to the end users. Most of the technologie fall in the category of persistent store apt for the data it serves. It can have relational databases, NoSQL databases, document stores, Key-Value stores, Column databases and so on.
We have delved a bit deep into the serving layer in part 1 of this book. This is just a recap as these principles drive choice of various technologies in this layer.
- Fast access/high performance: capability of serving data at high pace to the end users
- Low latency reads and updates: Reading and updating data with lowest latency possible enabling faster results...