jmqert.blogg.se - Migrate ssas tabular to azure

#Migrate ssas tabular to azure how to#
#Migrate ssas tabular to azure install#
#Migrate ssas tabular to azure series#

This is to enable them to create database objects and run migration pipelines.

Contractors have appropriate credentials to Azure subscription, Teradata and virtual machines.

Team has access to Azure Subscription to create resources within a resource group.

Agree on location upfront based on service availability.

Once migrated, you should have a robust testing plans to validate the solution in a test environment before going live in production. These steps are executed in three logical stages: Preparation, Metadata migration and Data migration which have been defined in the previous phases and are combined into Phase Six: Execution of Migration.

#Migrate ssas tabular to azure series#

Migrating your Teradata data to SQL Data Warehouse involves a series of steps. The data export file types can make a difference to the export, transfer and import to Azure SQL Data Warehouse – these have been listed in the detailed section.

With Azure you have two different paths – export to Azure Databox and ship to the Azure Datacentre or use Azure ExpressRoute to transfer from your data centre to Azure's datacentre. What is the path of least resistance? What is the quickest path given your cloud maturity? Phase Five helps describe the options open to you and then for you to decide on the path you wish to take. This layout can bring performance benefits to both the data and reporting layers.

#Migrate ssas tabular to azure how to#

Once you've defined the data mappings, phase four concentrates on how to tune Azure SQL Data Warehouse to provide the best performance for the data you will be landing into it.ĭepending on the state of the data warehouse you might need to deploy a team to adjust the schema into a star or snowflake data model. This phase is about mapping the data you have in Teradata to the data layout you will create in Azure SQL Data Warehouse.

This should feed into the Agile Project Charter and establish the team norms. If you have decided upon a live migration, then you would skip the POC stage (not recommended). Taking the answers from phase one, you decide upon running a POC to validate the outputs required and run the following phases as a POC. Phase Two – Defining Success Criteria for Proof of Concept This is the collecting requirements in an Agile methodology. Through a question and answers session you can help define what your inputs and outputs are for the migration project. The illustration below shows the different areas and they all build on top of each other: The use of an agile methodology, with focus on what must be delivered, to provide a working environment and any items that are "nice to haves" will achieve a foundation from which to build upon within Azure. The migration should pivot on six areas (one is optional but highly recommended) and, with the benefit of Azure, you can get ahead of the development curve by quickly being able to provision Azure SQL Data Warehouses for your development team to start business object migration before the data is migrated. This whitepaper is broken into sections which detail the migration phases, the preparation required for data migration including schema migration, migration of the business logic, the actual data migration approach and testing strategy. To learn about advanced deployment methods, see Tabular model solution deployment.This document gives insight into how to approach a Teradata to Azure SQL Data Warehouse migration. And, you can connect to it using a client tool like Power BI, Power BI Desktop, or Excel, and start creating reports. You can connect to it with SQL Server Management Studio (SSMS) to manage it. Now that you have your tabular model deployed to your server, you're ready to connect to it.

#Migrate ssas tabular to azure install#

If your data source is on-premises in your organization's network, be sure to install an On-premises data gateway. If deployment fails on a table, it's likely because your server couldn't connect to a data source. Then make sure the Deployment Server property for the project is correct. Make sure you can connect to your server using SQL Server Management Studio (SSMS). If deployment fails when deploying metadata, it's likely because Visual Studio couldn't connect to your server. That's all there is to it! Troubleshooting You may be prompted to sign in to Azure.ĭeployment status appears in both the Output window and in Deploy. In Solution Explorer, right-click Properties, then click Deploy. Then in Deployment > Server paste the server name. In Visual Studio > Solution Explorer, right-click the project > Properties. In Azure portal > server > Overview > Server name, copy the server name. If processing fails, you can't successfully deploy. In Visual Studio, click Model > Process > Process All. Before you deploy, make sure you can process the data in your tables.