Design Data Intensive Applications

We call an application data-intensive if data is its primary challenge—the quantity of data, the complexity of data, or the speed at which it is changing—as opposed to compute-intensive, where CPU cycles are the bottleneck.

Chapter 3 - Storage & Retrival

Log is used in the more general sense: an append-only sequence of records. It doesn’t have to be human-readable; it might be binary and intended only for other programs to read.

Hash Indexes

LSM Trees

• Write is fast
• Read is slow
• High write throughput due to (Write amplification)
• Compressed better
• Lower s;

B Tree

• Head log
• Entire page to be written always
• Leaves space ( unfragemented)