Imagine a shop with ten million orders in its database. The analytics team needs to query today’s sales, so it copies those orders into an analytical warehouse every night. If only ten thousand changed today, transferring all ten million again is slow and expensive. Change Data Capture (CDC) identifies the changes so the pipeline can send only what is needed.
A file contains José, but after passing through a pipeline it becomes José. Another preserves accents, yet searching for Jose also returns José. In a third, emojis turn into ?.
All three look like text problems, but they call for different investigations: how we interpret bytes, how we compare strings, and what information was lost along the way. Switching to UTF-8 without locating the failure can simply store already damaged text correctly.
Some tools solve one specific task. Others eventually become the whole toolbox. DBeaver belongs to the second category: it is a cross-platform database client for connecting to, querying, exploring, editing, and exporting data without changing applications. For a data engineer, it feels a lot like a graphical Swiss Army knife.
DBeaver is a desktop application for working with databases and other data sources. It supports JDBC connections, schema and table browsing, SQL with autocomplete, execution-plan inspection, record editing, and data export.