In this video, we provide a comprehensive Datameer demo, including its features, capabilities, and how it streamlines data analytics workflows
Learn how to simplify your Datameer project with complex data transformations by using the Grouping feature. Follow the step by step guide.
Take a look at Datameer’s ability to explore, parse and extract semi-structured data such as JSON and variant columns using a NoCode Wizardlike approach versus the typical tedious custom coding approaches.
Let’s say we want to take the results of a Datameer pipeline and send the output to Google Sheets. I can download, I can send, and schedule emails. And now we have the send to Google Sheets with Datameer.
Let’s take a look at Unioning and Datameer. Unioning can be tricky as schemas vary based on an easy-to-use point-and-click number of columns and data types. In Datameer, we have an easy-to-use point-and-click interface to define the union.
Watch this short demo to see how to aggregate transformations with Datameer
Watch this short demo to see how the extract and split function in Datameer works.
Watch this short demo to see how to JOIN in Datameer. Inner, outer, left, or a right join.
Watch this short demo to see how to remove and hide columns by using the manage columns function in Datameer.