Data lake: As discussed earlier in this chapter, we need a mechanism to combine data stored in different microservices, and perform near real-time analytics. A data lake is a good choice for achieving this. Data ingestion tools like Spring Cloud Data Flow, Flume, and Kafka are used to consume data. HDFS, Cassandra, and the like are used for storing data.
About Data Lake
Share this highlighthttp://www.safaribooksonline.com/a/spring-microservices/3059968/