Everything Data: The Asset Behind Modern Software
A practical map of data types from simple values to structured, relational, geospatial, time series, event, graph, metadata, and vector data.
Archive: data as an asset, coordination, benchmarks, transaction ids, write ahead logs, vector clocks, propagation, and transaction ordering.
A practical map of data types from simple values to structured, relational, geospatial, time series, event, graph, metadata, and vector data.
A practical explanation of ZooKeeper as a coordination service for leader election, locks, and shared metadata.
How to think about YCSB as a benchmark for comparing data stores under repeatable workloads.
How a globally unique transaction id helps operators and systems connect all records from the same distributed transaction.
Why a write ahead log makes crash recovery and replication safer.
A simple explanation of vector clocks and how they detect concurrent updates.
How updates move from a source of truth to caches, read models, indexes, and other replicas.
A practical explanation of two phase commit, prepare, commit, and why the coordinator matters.
How serialized transactions make concurrent work behave as if it ran one transaction at a time.