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What are Tableau Server Components and their
working?
Tableau Server is a crucial component within the Tableau architecture because it is
thoughtfully designed to manage and execute crucial processes. It's important for us to
know what’s under the hood of Tableau Server because it may be a core component and
helps to know Tableau better. Let us bear the components of Tableau Server and find out
how they work.
1. Gateway
A gateway could be a reasonable web server that helps clients communicate to the server
via HTTP or HTTPS. The server receives incoming client requests and directs them to the
acceptable server for action. A gateway handles processes like load balancing, traffic
routing, URL rewriting, serving static files to clients, serving multi-thread processes, etc. The
gateway server employed by Tableau is Apache Tomcat.
2. Application Server
Gateway interacts primarily with the applying server, also referred to as a workgroup server.
The appliance server deals with login processes, domain authentication, data authorization,
user or group permission management, content searches, etc. It works in close association
with the server’s repository and handles the info access operations. Also, it renders
processes associated with the program apart from the visualizations which are the work of
the VizQL server. The program is that the page that offers the users a summary of the
workbooks and projects they need access to.
3. Repository
The repository in Tableau Server stores server metadata associated with users, permissions,
assignments, groups, and projects. Together with the metadata, it stores visualizations in
flat files (TWS, TDS), and performance data for auditing. Whenever a server service or
component demands metadata, it's provided from the repository. Also, it cooperates with
the active directory to supply useful information to the app server for login verification
processes.
4. VizQL Server
It is a vital component of Tableau Server because it is liable for loading all the visualizations
that you simply see and work with on Tableau. It's an in-built caching for performance
improvement and editing tasks. Whenever a user requests a visualization or wishes to
update an existing one, the request received by VizQL is first converted into an SQL
statement and sent all the way down to the information sources via respective data source
drivers. The requested data sent back from the information source involves the VizQL server
again, where it's processed with some final touches of additional calculations and sent to
the user. Any new visualization coming from the information source is cached within the
VizQL for further use.
5. Data engine
The data engine is another efficient component that handles processes associated with
Tableau data extract (TDE). It's invoked only if a question is shot, which involves data from
TDE. The information engine stores multiple TDEs and may run on multiple servers
maximum 2). It also attends to multiple requests parallelly at a given point in time. The
information engine hosts the piece of knowledge in-memory extracted from the TDE upon
getting an invitation from the user.
6. Backgrounder
Backgrounder is an important multiprocess , a multiprocess element that manages
schedules for information refreshing and ensures proper functioning of the Tableau Server
and Data Engine.
7. Data Server
The data server helps in centralizing metadata management, driver deployment, and extract
management. It also contributes to access control and is a proxy to the information sources.
It hosts user queries and requests to forestall users from directly accessing the information
source.
8. Search and License
Two other significant components are search and license. The search component manages
the search indexing for the info within the repository. Whereas, the license component is
answerable for the licensing and configuration of the Tableau server. Both these services
run on the first server of Tableau’s server cluster.
Check out my recently published blog on Splunk: https://penzu.com/p/7355fac0

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What are Tableau Server Components and their working.docx

  • 1. What are Tableau Server Components and their working? Tableau Server is a crucial component within the Tableau architecture because it is thoughtfully designed to manage and execute crucial processes. It's important for us to know what’s under the hood of Tableau Server because it may be a core component and helps to know Tableau better. Let us bear the components of Tableau Server and find out how they work. 1. Gateway A gateway could be a reasonable web server that helps clients communicate to the server via HTTP or HTTPS. The server receives incoming client requests and directs them to the acceptable server for action. A gateway handles processes like load balancing, traffic routing, URL rewriting, serving static files to clients, serving multi-thread processes, etc. The gateway server employed by Tableau is Apache Tomcat. 2. Application Server Gateway interacts primarily with the applying server, also referred to as a workgroup server. The appliance server deals with login processes, domain authentication, data authorization, user or group permission management, content searches, etc. It works in close association with the server’s repository and handles the info access operations. Also, it renders processes associated with the program apart from the visualizations which are the work of the VizQL server. The program is that the page that offers the users a summary of the workbooks and projects they need access to. 3. Repository The repository in Tableau Server stores server metadata associated with users, permissions, assignments, groups, and projects. Together with the metadata, it stores visualizations in flat files (TWS, TDS), and performance data for auditing. Whenever a server service or component demands metadata, it's provided from the repository. Also, it cooperates with the active directory to supply useful information to the app server for login verification processes. 4. VizQL Server It is a vital component of Tableau Server because it is liable for loading all the visualizations that you simply see and work with on Tableau. It's an in-built caching for performance improvement and editing tasks. Whenever a user requests a visualization or wishes to update an existing one, the request received by VizQL is first converted into an SQL statement and sent all the way down to the information sources via respective data source drivers. The requested data sent back from the information source involves the VizQL server again, where it's processed with some final touches of additional calculations and sent to the user. Any new visualization coming from the information source is cached within the VizQL for further use.
  • 2. 5. Data engine The data engine is another efficient component that handles processes associated with Tableau data extract (TDE). It's invoked only if a question is shot, which involves data from TDE. The information engine stores multiple TDEs and may run on multiple servers maximum 2). It also attends to multiple requests parallelly at a given point in time. The information engine hosts the piece of knowledge in-memory extracted from the TDE upon getting an invitation from the user. 6. Backgrounder Backgrounder is an important multiprocess , a multiprocess element that manages schedules for information refreshing and ensures proper functioning of the Tableau Server and Data Engine. 7. Data Server The data server helps in centralizing metadata management, driver deployment, and extract management. It also contributes to access control and is a proxy to the information sources. It hosts user queries and requests to forestall users from directly accessing the information source. 8. Search and License Two other significant components are search and license. The search component manages the search indexing for the info within the repository. Whereas, the license component is answerable for the licensing and configuration of the Tableau server. Both these services run on the first server of Tableau’s server cluster. Check out my recently published blog on Splunk: https://penzu.com/p/7355fac0