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Use the Azure portal or have total control on-the-fly by using PowerShell. You only pay for what you use. Scale out resources for fast query responses With scale out, client queries are distributed among multiple query replicas in a query pool.
Query replicas have synchronized copies of your tabular models. By spreading the query workload, response times during high query workloads can be reduced. Model processing operations can be separated from the query pool, ensuring client queries are not adversely affected by processing operations.
You can create a query pool with up to seven additional query replicas eight total, including your server. The number of query replicas you can have in your pool depend on your chosen plan and region. Query replicas are billed at the same rate as your server.
Just like with changing tiers, you can scale out query replicas according to your needs.
To learn more, see Azure Analysis Services scale out. Use the Azure Analysis Services Pricing calculator to determine typical pricing for your region. This tool calculates pricing for a single-server instance for a single region. Keep in mind, query replicas are billed at the same rate as the server.
Azure Analysis Services supports tabular models at the and higher compatibility levels.
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Partitions, perspectives, row-level security, bi-directional relationships, and translations are all supported. Tabular models in both in-memory and DirectQuery modes are supported. In-memory mode default tabular models support multiple data sources. Because model data is highly compressed and cached in-memory, this mode provides the fastest query response over large amounts of data.
It also provides the greatest flexibility for complex datasets and queries. Partitioning enables incremental loads, increases parallelization, and reduces memory consumption. Other advanced data modeling features like calculated tables, and all DAX functions are supported. In-memory models must be refreshed processed to update cached data from data sources.
Backend data sets can exceed available server resource memory. Before determining the best mode for you, see Direct Query mode. To learn more, see Data sources supported in Azure Analysis Services.
Your data is secure Azure Analysis Services provides security for your sensitive data at multiple levels.
At the server level: Firewall, Azure authentication, server administrator roles, and Server-Side Encryption.
And at the data model level, user roles, row-level, and object-level security ensure your data is safe and gets seen by only those users who are meant to see it. Firewall Azure Analysis Services Firewall blocks all client connections other than those IP addresses specified in rules.
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Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud. Use advanced mashup and modeling features to combine data from multiple data sources, define metrics, and secure your data in a single, trusted tabular semantic data model.
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