4 posts about ETL pipeline by 4 contributors.
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Learn how to build reliable incremental PostgreSQL-to-BigQuery transfers using timestamps, checkpoints, staging tables, merges, and change data capture.
In this article, I walk through the exact steps I used to integrate a JSON sales file into a Microsoft Fabric Lakehouse using Dataflow Gen2 — from connecting to the JSON source and expanding its nested structure, to fixing data types, mapping the output to a Lakehouse table, and publishing the dataflow for a clean, queryable result.
Build a lightweight ETL pipeline using SQL Server and .NET Background Worker! Extract, transform, and load data efficiently without heavy tools. Perfect for small to mid-sized teams.
Learn memory-efficient SQL Server data processing with SqlClient, including SqlDataReader streaming, SqlBulkCopy, table-valued parameters, and asynchronous ETL patterns.
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