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Loading Data into BigQuery: Batch and Streaming
BigQuery can be loaded in batches from files or fed continuously through the Storage Write API. This guide compares the methods by latency, cost, limits and what a retry does, with documented commands, a model of at-least-once against exactly-once delivery, and a rule for choosing.
Loading Data into Redshift: COPY and Best Practices
A practical guide to loading Amazon Redshift with the COPY command: why it beats INSERT, how file layout decides whether the load runs in parallel, a worked split of a real 2.96-million-row file into eight even parts with a manifest, loading Parquet, merging updates through a staging table, and verifying the load.
Streaming Data into BigQuery: A Practical Guide
Streaming new events into BigQuery is well covered. Streaming changes, where rows are updated and deleted, needs BigQuery's change data capture. This practical guide covers the pseudocolumns, primary keys, sequence numbers and max_staleness, and simulates the ordering rules to show how out-of-order changes go wrong.
Loading Data into Synapse with ADF
Loading a Synapse SQL pool row by row is slow by design. This guide explains the three load methods the Azure Data Factory Copy activity offers, the COPY statement, PolyBase and bulk insert, when a load is direct and when it needs staging, the settings for each, upserts, and the documented limits.