MySQL
The world's most popular open-source database — and a common starting point for analytics
https://www.mysql.comWhat It Is
MySQL is one of the most widely deployed relational databases in the world, powering millions of applications across every industry. While primarily an OLTP database, MySQL is often the source system from which analytical data needs to be extracted, transformed, and loaded into warehouses and data lakes.
How We Use It
We encounter MySQL frequently as a source system in client environments. Our work typically involves designing efficient data extraction pipelines (batch and CDC), performance tuning for analytical queries that run against production replicas, and migration projects where MySQL workloads move to more analytics-friendly platforms.
Our Expertise
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✓Data Extraction & CDC
We design efficient extraction patterns from MySQL: full loads, incremental extractions, and Change Data Capture using binlog replication (Debezium, Maxwell).
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✓Replication Topologies
We work with async replication, semi-sync, GTID-based replication, and dedicated analytics replicas.
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✓Query Optimization
We tune MySQL queries: proper index design, EXPLAIN analysis, optimizer hints, and partitioning strategies.
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✓Migration to Analytics Platforms
We migrate analytical workloads from MySQL to dedicated warehouses (ClickHouse, Snowflake, BigQuery, Greenplum).
Typical Use Cases
Data Source for Analytics
Extracting data from MySQL-powered applications into analytical pipelines.
CDC Architectures
Real-time change capture for downstream processing.
Migration Projects
Moving analytical workloads to purpose-built warehouses.
Replica Optimization
Performance tuning of reporting queries on MySQL replicas.
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