Semi Structured Data Architecture: JSON Pipelines That Stay Useful
How JSON, XML, and flexible payloads move into document stores, lakehouses, search, and analytics.
Archive: data as an asset, coordination, benchmarks, transaction ids, write ahead logs, vector clocks, propagation, and transaction ordering.
How JSON, XML, and flexible payloads move into document stores, lakehouses, search, and analytics.
A practical architecture for relational data from OLTP systems into search indexes, read models, and analytics stores.
How table shaped data moves through ETL into warehouses, lakehouses, dashboards, and searchable business records.
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.