History of Tableau<\/h3>\n
Tableau software was developed by an American software company which is situated in Seattle, WA, USA<\/strong>. Professor Pat Hanrahan and <\/em>Ph.D. student Chris Stolte<\/em> who specialized in visualization techniques created the software in the department of computer science with the aim to explore and analyze relational database and datacubes. They led research in which they studied and analyzed the use of table-based displays to browse multi-dimensional relational databases.<\/p>\n These founders basically combined the structured query language (SQL)<\/strong><\/a> with graphics and invented a database visualization language called VizQL, i.e. Visual Query Language. VizQL is responsible for the basic foundation of the Polaris system, Polaris is an interface for exploring large interface data.<\/p>\n In 2003, Chris Stolte,<\/em> appointed his former business partner and friend, Christian Chabot<\/em> as the CEO for Tableau. Tableau was taken out anonymously.<\/p>\n Tableau converts relational databases, cubes, cloud database, and spreadsheets to dashboards and shares over the internet. Revenue collection of Tableau in 2010 was reported to be $34.2 million dollars, it grew to $64 million dollars in the year 2011.<\/p>\n In this Tableau Tutorial, we will study three products of Tableau.<\/p>\n Tableau Tutorial –\u00a0Different Products by Tableau<\/p><\/div>\n It is a business intelligence<\/a><\/strong> application that provides analysis based on a browser which anyone can use. It is an alternative which anyone prefers, because of its fast pace as compared to the traditional business software. No scripting is required for Tableau, this makes it very user-friendly, and one can become a business analyst, grow deployment or even train for free.<\/p>\n Tableau is a hosted version of Tableau server, it makes the analysis for business super fast. It provides the user to share dashboards<\/a><\/strong> on multiple platforms in minutes. It provides the user and the company to share views live, and it also provides a secure and hosted environment. There is also no need to buy, set up or manage any architecture, it can scale up as much as you want.<\/p>\n Tableau public was designed basically for anyone who wanted to share and tell stories or data with interactive graphics on the web, it runs overnight, with it you can create and publish data without the help of any programmers of IT.<\/p>\n The premium version is for organizations that want to scale up their websites and keep the underlying data hidden.<\/p>\n Let us now study various reasons to learn Tableau. It is very easy to use as you don\u2019t need to know any sort of programming the only requirement with tableau is to have some kind of data to create reports<\/a><\/strong> that are enchanting. It\u2019s drag and drop feature is revolutionary. It helps you to create a story or reports by using your imagination and a mouse. As tableau has VizQL all these features are possible in tableau.<\/p>\n Tableau data engine is a revolutionary breakthrough in-memory analytics, which was designed to overcome the limitations of existing databases and data silos. The tableau is capable to run on ordinary computers, it puts data into the hand of everyone no fix data model requires and there is no requirement for any fix data module.<\/p>\n Have a look at – Tableau Applications<\/a><\/strong><\/p>\n The other analytic software that is available in the market guarantee a lot of fancy features, but fails as soon as it comes to memory, when the user needs to deal with a large amount of data, tableau here comes as a saviour and is capable and deliver efficient results even with a large amount of data.<\/p>\n This part of the Tableau Tutorial covers the following Tableau benefits:<\/p>\n Tableau Tutorial – Advantages of Tableau<\/p><\/div>\n Tableau is capable of analyzing hundreds of millions of rows and give the required answer in seconds. Speed is the greatest asset of a tableau. This feature of Tableau<\/strong><\/a> is most useful while you taking a fast business decision.<\/p>\n Tableau is very easy to use because of its drag and drops feature. The only prerequisite is basic MS Excel skills and that is all, no prior programming knowledge requires for it.<\/p>\n The dashboard of tableau gives dynamic and very interactive results. Images<\/a><\/strong>, web pages will incorporate into the dashboard very easily for smart and beautiful graphics and charts<\/a><\/strong>. The beautiful and interactive dashboard helps in easy storytelling, which gives a deep insight into the data.<\/p>\n Tableau allows database, data warehouse<\/a><\/strong>, and cubes directly connect\u00a0to the users. To upgrade tableau, no need to advance setup,\u00a0update on its own, this makes data access very easy. For example, one can easily pick tables from spreadsheets, then data from Hadoop<\/strong><\/a>, which therefore makes a perfect mash-up and thus helping in getting results quickly.<\/p>\n After the analyzing of data is done, quick sharing can be easily done, the dashboard publishes to share on web and mobile devices. This quality makes it very user-friendly and helps in getting results efficiently and quickly.<\/p>\n Tableau is new to the market, so it still growing day by day, i.e., its market share is growing on a daily basis. It is in almost every industry, healthcare to transportation, everywhere. It has a very strong client base, which includes companies like Nokia, Deloitte, Microsoft and many more. These companies use Tableau on daily basis to meet the requirement for business intelligence.<\/p>\n Follow the link to know more about Tableau Pros and Cons<\/a><\/strong><\/p>\n This Tableau Tutorial describes following drawbacks of Tableau.<\/p>\n Tableau Tutorial – Tableau DIsadvantages<\/p><\/div>\n Tableau, specialize BI application, which is very easy to use but still, it is not a platform which develops analytical applications that can share broadly. Tableau is not for the enterprises that have wide deployments and have broad business and population of a technical user.<\/p>\n Tableau allows its user to only analyze the situation, it also does not have any predictive or statistical capabilities, and it does not support SAS<\/a><\/strong>, S+, etc. as other tools do. Therefore users cannot project or model the best available opportunities, it extremely limited and statistically challenged.<\/p>\n Tableau is an open source software, which makes it incapable of customizing or integrate with other applications, there is no way to extend it.<\/p>\n It does not support any kind of extensions for any extended analytics such as network graphs, box plots<\/a><\/strong> etc. which allows users to build relationship better with any other software would provide.<\/p>\nDifferent Products by Tableau<\/h3>\n
![\"Tableau](\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/02\/Products-Offered-by-Tableau-01.jpg\")
<\/a>a. Tableau Server<\/h4>\n
b. Tableau Online<\/h4>\n
c. Tableau Public<\/h4>\n
Why Tableau?<\/h2>\n
Advantages of Tableau<\/h3>\n
![\"Tableau](\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/02\/Strengths-of-tableau-01.jpg\")
<\/a>a. Speed<\/h4>\n
b. Ease of use<\/h4>\n
c. Beautiful and Interactive Dashboard<\/h4>\n
d. Direct Connection<\/h4>\n
e. Easy Publishing and Sharing<\/h4>\n
f. Growing Market<\/h4>\n
Tableau Disadvantages<\/h3>\n
![\"Tableau](\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/02\/Weakness-of-Tableau-01-1.jpg\")
<\/a>a. No Comprehensive Solution<\/h4>\n
b. No Predictive Analytical Capabilities<\/h4>\n
c. Customization and Integration with Other Apps<\/h4>\n
d. Expandability for Analysis<\/h4>\n
e. Robust Enterprise-Class Security<\/h4>\n