When you edit documents in various formats day-to-day, the universality of your document tools matters a lot. If your tools work with only a few of the popular formats, you may find yourself switching between software windows to change table in xml and handle other file formats. If you wish to remove the hassle of document editing, go for a platform that will effortlessly manage any format.
With DocHub, you do not need to focus on anything short of the actual document editing. You will not have to juggle applications to work with different formats. It will help you edit your xml as effortlessly as any other format. Create xml documents, edit, and share them in one online editing platform that saves you time and boosts your efficiency. All you need to do is register a free account at DocHub, which takes just a few minutes.
You will not have to become an editing multitasker with DocHub. Its functionality is enough for fast papers editing, regardless of the format you need to revise. Start by creating a free account and discover how effortless document management can be having a tool designed specifically to suit your needs.
hi its Tim from Oracle base dot-com in this video well demonstrate how to use XML table in SQL to convert XML data into rows and columns well start by creating a table to hold the XML data notice the table has got a column called XML data which is of type XML type we populate the table with a single XML document made up of employee records from the amp table we can display the data in the table by converting the XML type column to a club we can see the XML document contains a list of employees theres a separate tag for each piece of information about an employee we effectively make a cartesian product between our data table and xml table this allows xml table to turn one single document into multiple rows we identify the table column as the source of the data using the passing clause the rows in the data are identified using this X query expression we project columns over each XML fragment using the columns clause where we specify the column name datatype and the path to the data