Many tools will push data teams to choose between a direct connection to an existing warehouse or, more likely, extracting data into their tool to prepare for analysis ... but not Tableau.
In an ever changing data landscape the choices made by analysts can dramatically impact resource allocation, consumption costs, speed and efficiency of other teams. Making the right decisions in where you do your transformations, how regularly you refresh your extracts and importantly when to "connect live" can make a massive impact.
We'll first unpack some of the theory and some best practices to consider both at the data layer and in Tableau before moving on to some real world examples from a customer.
Whether you're new to Tableau or not you should expect to leave confident that you're getting cost effective, predictable and efficient data pipelines without compromise.
Account Executive, Biztory
Principal Consultant, Biztory
Account Executive, Tableau
Senior Data Analyst, Worldremit
Contact email@example.com if you have any questions ahead of time.