This is a standard reference architecture to implement TimeXtender fully On-Premises.
To prepare your TimeXtender environment, here are the steps we recommend:
1. Create Application Server - Local Server
To serve the TimeXtender application on-premise, we recommend using an Windows environment such as Windows Server sized according to your solution's requirements.
Guide: Configure an On-Prem Application Server & Storage
Considerations:
- This article highlights the Separate Application and Database Server architecture. In this configuration, the ODX Server is installed on an "Application" server and the SQL Databases are stored on a separate "Database" server. It is also possible to run the ODX and SQL on a consolidated server.
-
Once you have chosen your desired configuration and deployed the necessary servers, you must install all the necessary TimeXtender Prerequisites.
-
Configure your server(s) firewall to allow TimeXtender's List of Required Firewall Exceptions.
2. Create ODX Storage - SQL Server Data Storage
To integrate your siloed data, On-Prem SQL DB can store your raw data quickly and easily.
Guide: Add an ODX Instance
Considerations:
- ODX Server Storage database can be created directly in TimeXtender
- ODX Server Service should be hosted locally on the App Server
- SQL Server 17 or higher is recommended
3. Create MDW Storage - SQL Server Data Storage
SQL DB is a great option for the data warehouse storage.
Guide: Add a Data Warehouse Instance
Considerations:
- A data warehouse in TimeXtender is a SQL Server database on premise (or in Azure) where your data is stored for queries and analysis.
- Often, a TimeXtender solution consists of one data warehouse where you consolidate data from one of more staging databases and a number of data sources.
- SQL Server 2017 or higher is recommended
- If using a Data Staging Area (DSA) in your solution, you can use a separate SQL DB as the MDW.
4. (Optional) Create Semantic Model - SQL Server Analysis Services
SQL Server Analysis Services is the ideal way to serve data to Power BI and Excel. Since there are many ways to connect visualization tools directly to the MDW, this is an optional step.
Guide: Add a Semantic Model Instance
Considerations:
- TimeXtender stores semantic models in Analysis Services Tabular model behind the scenes.
- Each semantic model can be deployed to one or more endpoints.
