1) where exactly Tableau stands in Big Data Analytics career?
This is a very open question – Tableau is a data visualisation software which allows the user to not only build reports, but perform exploratory analysis in order to build out a smart story. It’s been in the Gartner Magic Quadrant for the past 6 years now, and is a market leader. Where it sits within the ‘Big Data Analytics’ stack is around the visualisation and delivery – so after any ETL processes.
2) Should i learn R or Python along with Tableau to have good career growth?
This isn’t required at all! R and Python can be integrated into Tableau for additional analytics, but the raw base of Tableau is it’s drag & drop interface which allows anyone to be a data analyst asking and answering questions of their data.
3) Prerequisite knowledge to learn Tableau is – SQL, R , Statistics, Data warehouse is it?
I personally had basic Excel knowledge before taking up Tableau, and tool mastery comes from simply using the tool and understanding how it operates. SQL knowledge can help understand some elements, but definitely is not a pre-requisites. I think one of Tableau’s biggest strengths is the low barrier to entry.
4) What is the future of Tableau? and how effective Career growth in this field?
The future of Tableau is the continued growth and development of a product which is driven by small, medium and large enterprise needs, and a thriving community who only want success for the product. There is so much to learn and understand to push Tableau to it’s limits, and with great features being released with each version, the software is going from strength to strength.
5) Are tableau analyst jobs in demand in 2018?
Yes, it’s highly demanded in 2018 on Tableau analyst, The future of Tableau is the continued growth and development of a product which is driven by small, medium and large enterprise needs, and a thriving community who only want success for the product
6) What’s the advantages of Tableau over any other BI tool?
Tableau is hands down the best because of these reasons IMHO.
- It does one thing and one thing well, which is to ingest data from any source and allow you to create beautiful dashboards.
- In terms of Dashboard design, it is the only tool I’ve used that uses all the data visualization best practices. They seem to have put a lot of effort into it. I do a lot of custom visualizations in d3.js and Tableau is perhaps the only tool that I’d use if I didn’t have the option to use d3.