As digital transformation efforts accelerate, organizations are collecting, processing, and analyzing more data—coming from more sources, in more shapes and forms—than ever before. Bringing visual analytics to big data allows analysts, researchers, and business users to get valuable insights and make better decisions using data that was previously inaccessible or unusable. While big data offers a lot of opportunities, there are also challenges that come when seeking to analyze it.
Analyzing big data with Tableau
Tableau’s mission is to help people see and understand data, no matter where it comes from, where it lives, or how much of it there is. In this whitepaper, we will demonstrate the Tableau platform’s readiness to analyze terabytes of data—representing billions and tens of billions of rows—using Tableau Server, by focusing on three key areas:
- Bringing in large amounts of data into Tableau Server fast and efficiently
- Achieving interactive analytics at the speed of thought using Hyper, the core technology behind extracts
- Providing a natural language interface to enable all users to analyze big data
We’ll dive deep into each of these topics, including providing benchmark results; discussing tool, configuration, and deployment options; and providing hardware sizing guidance. Download the whitepaper to read more.