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Use the Sharding design pattern to divide a data store into horizontal partitions or shards to improve scalability and performance in distributed systems.
Challenges in data processing pipelines, from periodic to continuous models, and discover innovative solutions like the leader-follower model for big data.
Learn how to use an append-only store to record the full series of events that describe actions taken on data in a domain.
Learn how to load data on demand into a cache, which can improve performance and maintain consistency between cached data and the underlying data store.
Learn how to segregate operations that read data from operations that update data by using the Command Query Responsibility Segregation (CQRS) pattern.
ARCHITECTURE | LEVEL 300
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