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Jan 10, 2020 · Big Data

How MaFengWo Scales Kafka for Real‑Time Big Data: Lessons and Best Practices

This article details MaFengWo’s practical experience using Kafka across three core scenarios—real‑time storage, analytical data source, and business data subscription—while describing a four‑stage evolution that includes version upgrades, resource isolation, security and monitoring enhancements, and a comprehensive subscription platform, followed by future improvement plans.

Big DataData ReplayKafka
0 likes · 16 min read
How MaFengWo Scales Kafka for Real‑Time Big Data: Lessons and Best Practices
ITPUB
ITPUB
Jun 14, 2018 · Databases

How T‑TDSQL Enables Real‑Time Incremental Reconciliation and Temporal Flashback

This article explains how T‑TDSQL leverages full‑temporal storage and snapshot‑difference techniques to perform incremental data extraction, precise account reconciliation, online flashback, and data replay, illustrating the underlying SQL commands, error‑handling tables, and practical benefits for internet finance workloads.

Data ReconciliationData ReplayIncremental Computation
0 likes · 14 min read
How T‑TDSQL Enables Real‑Time Incremental Reconciliation and Temporal Flashback