When you edit documents in different formats daily, the universality of your document solution matters a lot. If your instruments work with only a few of the popular formats, you might find yourself switching between application windows to clean up data in SDW and manage other document formats. If you want to take away the hassle of document editing, get a solution that can effortlessly handle any extension.
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Lewis will guide you through five steps to perform data cleansing on SQL Server. First, create a new table or work table. Second, create select and insert statements. Third, use is numeric to filter particles. Fourth, filter out bad records. Fifth, upload the clean data. Start by opening your database on the training table and select the top 1000 rows for cleaning. Even if some data appears fine, trust but verify by cleansing it to find anomalies. Let's begin the process!
