Summary

In this chapter, we journeyed through the crucial components of data ingestion and storage strategies. We emphasized the importance of a well-structured and adaptable data ingestion and storage plan for organizations to proficiently manage and utilize their data.

We explored the concept of design by query and how it revolutionizes data modeling by focusing on end user needs. We also learned about the power of clustering to enhance performance, and we dove into the intricacies of Z-ordering for optimizing data storage and improving query performance. We examined the role of views and materialized views and their impact on performance and complexity. We also discussed the strategy of read replication to balance the load and improve performance, especially under heavy load.

Furthermore, we discovered various advanced data modeling techniques, such as partitioning, clustering, bucketing, and Z-ordering, and acknowledged their benefits, which include enhanced query performance...