Tableau Architecture

Tableau has a high scale-able, n-tier client server architecture that serves mobile user, web users and desktop-installed software. Tableau gives an adaptable solution for creation and analysis of web, portable and desktop analysis.  Tableau Desktop is the authorizing and publishing tool that is utilized to create shared views on Tableau Server.

Tableau  server is a enterprise  business platform. It can set up a huge number of clients. It offers powerful mobiles  and web based analytics works with companies existing information and security protocal.

Tableau Server :

Data Layer : The basic characteristic of tableau  that supports  your selection of data architecture. Tableau  does not require any limitations for the database like data to be stored  in any single system. The vast majority of the organizations have a heterogeneous environment . Tableau  can work with all these at the simultaneously . Tableau  gives simple alternatives to update your data  to be quick and responsive with our quick in-memory Data Engine.

Data Connectors : Tableau includes  various  connectors for databases, for example, Microsoft Excel, SQL Server, Oracle, Teradata, Vertica, Cloudera Hadoop, and significantly more. There is additionally a non specific ODBC connector for any frameworks without a local connector. Tableau  gives two modes to collaborating with data : Live connection or In-memory. Clients can switch between a live and in-memory association as they choose.

TABLEAU Tutorial Video

Live Connection : tableau data connectors use your current information by sending dynamic SQL or MDX statements directly  to the source database rather than importing all the  data. On the off chance that you need to fastely import every one of the information then you can take live association. Also, this implies Tableau can successfully use boundless measures of data – indeed, Tableau is the front-end analytics client  to a considerable lot of the biggest databases in the world . Tableau  has optimized every connector to take advantage of unique characteristics of each data source.

In- memory :  Tableau  offers a quick analytic performance  due to in-memory data engine . You  can connect with any information, with a single tick; data engine  will extract  the data and get it memory in the tableau . Data engine  used your whole system to get the quick reaction on million of lines of data. Data engine  can access the disc store and in addition RAM and reserve memory; it is not constrained by the amount  of memory on a system . There is no necessity that  the entire data is stacked into memory.

Features :

Scales up:  Is Multi-Threaded

Scaled out: Is multi-process empowered

provides integrated clustering

supports high availability

Is secure

Runs on both physical and virtual machines.