7 Features of Tableau Self-service Engine

Tableau introduced the Self-Service tool. This Tool helps user queries while importing data from multiple sources. This project is called Project Maestro. This is an additional feature for the data analysis engine.

Self-Service Engine in Tableau

  • The visual ways of inspecting, joining and editing data. Results could then be piped into Tableau for analysis.
  • Speedier data import and analysis. Tableau's new data engine works based on Hyper technology. You can see now faster to import and analyze large data sets with Tableau.
  • Hundreds of thousands of records being imported per second, as well as being visualized in real-time as the import process continued. This engine developed based on feedback from the user community.
  • It supports natural language queries.
  • Tableau is aiming for true natural speech, not merely being able to type in questions that require using exact field names and functions.
  • The example is you can ask questions like Tell me the cheapest houses in near California.
  • Tableau would suggest visualizations and other analyses based on your data set. Pre-built recommended dashboards from cloud services, including combining data from multiple services.

Also read

Tableau 9 for data science-Real life data science exercises


Popular posts from this blog

Hyperledger Fabric: 20 Real Interview Questions

How to Fix Python Syntax Errors Quickly

7 AWS Interview Questions asked in Infosys, TCS