The tableau Overview for IT

Posted by mounika on April 20th, 2019

Tableau overview

Tableau Software was founded on the idea that data analysis and subsequent reports
should not be isolated activities but should be integrated into a single visual analysis
process—one that lets users quickly see patterns in their data and shift views on the fly to follow their train of thought,

This flexibility helps IT organizations get out of the reporting backlogs and empower the business users to be self-reliant. But this flexibility doesn’t come at the expense of IT. In fact, it’s the opposite. IT can deliver this service in a scalable, secure, and easy-to-manage system which meets the Service Level Agreement of the organization.

Data Layer
One of the fundamental characteristics of Tableau is that it supports your choice of data architecture. Tableau does not require your data to be stored in any single system, proprietary or otherwise. Most organizations have a heterogeneous data environment: data warehouses live alongside databases, whether on-premise or in the cloud. Cubes and flat files like Excel are still very much in use. Tableau can work with all of these simultaneously. You do not need to bring all your data in-memory unless you choose to. If your existing data platforms are fast and
scalable, Tableau allows you to directly leverage your investment by utilizing the power of the database to answer questions. If this is not the case, Tableau provides easy options to upgrade your data to be fast and responsive with our in-memory Data Engine. Tableau certification

Data Connectors
Tableau includes over 40 optimized data connectors for data sources such as Microsoft Excel, SQL Server, Google BigQuery, Amazon Redshift, Oracle, SAP HANA, Salesforce.com, Teradata, Vertica, Cloudera, and Hadoop, and new data connectors are added on a regular basis. There is also a generic ODBC connector for any systems without a native connector. Tableau provides two
modes for interacting with data: live connection or in-memory. Users can switch between a live and in-memory connection as they choose.

Gateway/ Load Balancer
The Gateway routes requests to other components. Requests that come in from the client first hit an external load balancer if one is configured, or the gateway and are routed to the appropriate process. In the absence of an external load balancer, if multiple processes are configured for any component, the Gateway will act as a load balancer and distribute the requests to the processes. In a single-server configuration, all processes sit on the Gateway, or primary server. Learn tableau online training When running in a distributed environment, one physical machine is designated the primary server and the others are designated as worker servers which can run any number of other processes. Tableau Server always uses only one machine as the primary server.

Clients: Web Browsers and Mobile Apps
Tableau Server provides interactive dashboards to users via zero-footprint HTML5 in a web or mobile browser, or natively via a mobile app. There is no ActiveX, Java, or Flash needed to run reports and vizzes. No plug-ins or helper applications are required.

Tableau Server supports:
• Web browsers: Internet Explorer, Firefox, Chrome, and Safari
• Mobile Safari: Touch-optimized views are automatically served in mobile Safari
• iPad app: Native iPad application that provides touch-optimized views,
content browsing and editing
• Android browser: Touch-optimized views are automatically offered in the Android browser
• Android app: Native Android application that provides touch-optimized views, content browsing, and editing


Clients: Tableau Desktop
Tableau Desktop is the rapid-fire business analytics authoring environment used to create and publish views, reports, and dashboards to Tableau Server. Using Tableau Desktop, a report author can connect to multiple data sources, explore relationships, create dashboards, modify metadata, and finally publish a completed workbook or data source to Tableau Server. Tableau Desktop can
also, open any workbooks published on Tableau Server or connect to any published data sources, whether published as an extract or a live connection.


Tableau Desktop runs on both Windows and Mac desktops.

Data Strategy
Every organization has different requirements and solutions for its data infrastructure. Tableau respects an organization’s choice and fits existing data strategy in two key ways: first, Tableau can connect directly to data stores or work in-memory; and second, Tableau works with an ever-increasing a number of different data sources.

Tableau gives organizations what today’s business demands: a self-service, rapid and agile business analytics solution that is truly enterprise-ready. Tableau helps anyone quickly analyze, visualize and share information. More than 21,000 customer accounts get rapid results with Tableau in the office and on-the-go. And tens of thousands of people use Tableau Public to share data in their blogs and tableau training websites

Also See: Tableau Server, Optimized Views, Data Sources, Touch Optimized, Tableau, Server, Data
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