Data
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- Identify unnecessary copies of large data structures (pandas DataFrames
dicts)
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dicts)
race conditions
pagination
serialized async work
data volumes
excessive reads/writes
missing indexes
profiling data
data structure choices
contention points
read/write ratios
HyperLogLog
minutes for session data
random values) in keys that should be shared
data growth
>70% for warm data)
write-behind
simple but risk of stale reads
lower write latency
scalable for distributed systems
strong consistency
Memcached for simple key-value hot data
materialized views
cardinality