The terms Big Data, Data Lake, realtime processing and streaming are all around us. While most analyses done in organizations are still at the ‘spreadsheet level’, involving small tables and manageable data volumes, the challenge of working with very large volumes (100 million records and beyond) is something more and more people have to tackle.
Whether you are a data analyst searching for insights in your data, a decision maker in need of actionable information to drive your company strategy, or you lead a team of analysts who want to use their tools in the most effective way, handling big data volumes is a topic you will not be able to ignore in the long-term.
So what is so special about working with large data volumes when it comes to analysis in general and visual analytics in particular? The short of it is: there isn’t that much of a difference. At the detailed level, however, there are a number of things to consider to make the analysis process as smooth and efficient as possible, while also making the most of the rich and granular datasets available to you.
We want to share a few tips for analyzing Big Data in Tableau. These ideas apply generally to visual analytics and we have included a couple of interactive visualizations to help you better understand how you can put the suggestions into practice.