Ways To Available Sql Web Server Business Intelligence Advancement Workshop – This blog describes installing BusinessObjects Business Intelligence Platform 4.2 SP8 with Azure SQL DB, a PaaS database solution managed in azure. Azure SQL server / DB is supported from BO / BI version 4.2 SP8 onwards, referring to SAP BusinessObjects BI 4.2 SP8 Product Availability Matrix (PAM).
Azure SQL Database is a fully managed platform as a Service Database Engine (PaaS) that manages most database management functions, such as updates, patches, backups, and monitoring without user involvement. Azure SQL databases always run on the latest stable SQL Server database engine and fixed OS with 99.99% availability. PaaS capabilities built into Azure SQL databases allow you to focus on managing specific databases of domains and optimization activities that are critical to your business.
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Ideal for modern cloud applications that want to use the latest stable SQL Server features and time constraints on development and marketing.
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SQL Server Database Engine is fully managed based on the latest stable Enterprise Edition of SQL Server. SQL Database has two deployment options built on standard hardware and software that is hosted and maintained by Microsoft.
With SQL Server, you can use the built-in functions and functions that require extensive configuration (either on-premises or in Azure virtual machines). When using SQL Database you pay as you go with the option to expand or exit to get more power without interruption. SQL Database has some additional features not available in SQL Server such as high availability, intelligence and management.
The vCore-based purchase template allows you to choose the amount of vCore, the amount of memory, and the amount and speed of loading. VCore-based purchase model also allows you to use Azure Hybrid Benefit for SQL Server to get cost savings. Service level options in the vCore model include general purpose, business importance, and size. Service levels generally define the architecture, storage, space, and I / O limits, and business continuity options related to availability and disaster relief.
The general purpose model is the most appropriate business burden. It offers a balanced and budget-oriented calculation and storage options. Resource options and limitations are described here.
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The Business Critical model provides business applications with the highest resistance to failure using multiple separate copies and provides the highest I / O performance per database copy. Resource options and limitations are described here.
For SAP BO / BI environments, it is easy to use vCore-based models and select either general purpose or business-critical SKUs.
The DTU-based acquisition model provides a combination of computer resources, memory and I / O at three service levels to support heavy database workloads. The calculated size in each level provides a variety of these resources to which you can add additional storage resources.
The service level in a DTU-based purchase model is divided by a range of calculated sizes with a fixed amount of storage space included, a fixed storage period for backups, and a fixed price.
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Server-free models automatically scale based on workload requirements and invoices for the number of calculations used per second. The non-server level computer also automatically pauses the database during inactivity when only the load is charged and will automatically resume the database when the activity returns. Resource options and limitations are described here
This section describes step-by-step procedures for installing SAP BO / BI base with Azure SQL DB. High availability and disaster relief installations are not included in this section.
Select the computer and storage space according to the size requirements. Please refer to the Azure SQL DB Sizing Model section in this blog to select the preferred option.
Adding vnet of software VMs will allow connection between Azure SQL Server DB’s and VMs. Also change the setting to ‘No’ to allow Azure services and resources to access this Azure DB server.
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Part II – Advanced Setup (HA) of the SAP BO / BI platform with Azure SQL DB HA for Azure SQL DB
Azure SQL DB is highly available by design. The goal of the high availability architecture in Azure SQL Database is to ensure that your database is up and running at least 99.99% of the time. Highly available solutions are designed to ensure that committed data is not lost due to maintenance operation failures that do not affect your workload and that the database will not be a point of failure in its application architecture. You. There are no maintenance windows or downtime that require you to stop the workload while the database is being upgraded or maintained.
Standard availability templates based on computer allocation and storage space. It depends on the high availability and reliability of the remote storage level. This architecture targets budget-focused business applications that can withstand some performance declines during maintenance activities.
Special availability templates based on clusters of database host processes. It depends on the fact that there is always a quorum of available database hosts. This architecture targets mission applications with high IO performance, high operating rates, and ensures minimal performance impact on your workload during maintenance activities.
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We may also have deployments based on the Availability Zone in the Business & Premium Tier class. More details about HA for Azure SQL DB can be found at the link.
We can achieve HA in a CMS server by adding additional CMS servers and integrating them as part of a cluster. Webserver HA can do this by adding an additional webserver and setting the Internal Load Balancer to send user connections to any webserver. FRS can use advanced file sharing that can be deployed using SOFS / ANF / SIOS Datakeeper in Azure.
Part III – Installing Disaster Recovery (DR) of SAP BO / BI Platform with Azure SQL DB DR for Azure SQL DB
Azure SQL DB provides automated failure groups across regions for DR installations. The group that automatically fails provides the endpoint of the read and read only to the listener who remains unchanged during the failure. Whether you use manual or automatic failure, the failure will switch all secondary databases in the group to primary. After the database failure is complete, the DNS record is automatically updated to redirect the endpoint to the new site.
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Note the details of the Read / Write Listener that will be used for connection from ODBC DSN in CMS Servers for CMS & Audit DB.
Also update the firewall rules for the second DB server to be accessible for specific Vnets that CMS & Web Servers are part of.
Installing Azure Site Recovery (ASR) from Primary to DR region for CMS, Web servers are done for DR installation. ASR is copying VM images and in case of disaster we can run VMs in DR area. The CMS server will automatically connect to the Azure SQL DB while the listener name is stored in the ODBC DSN.
Once the ASR synchronization is complete and the copy state is ‘healthy’, we can apply ‘Test Failover’ to a separate DR vnet and test the CMS & web server connection to Azure SQL Server DBs.
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During the process, the DR needs to fail (using ASR Disaster Recovery -> Failover) CMS and Web Servers VMs in the DR area. In the Azure SQL Server DBs layer, part of the Failover team needs to fail from the primary region to the DR region.SQL or structured query language is an important part of business intelligence because it is the only way. To speak to a contact database. In fact, it is important that one of the defining characteristics of business intelligence devices is
One way of thinking about it is that SQL allows you to ask questions and get answers about your data, and each BI tool offers a different approach for asking those questions and providing answers. And the answers you find will help you make decisions based on data about your business that can develop into a significant competitive advantage.
We have compared different business intelligence tools before, but knowing how each interacts with SQL to create data visualization will help you decide on the right tool for your organization.
If you need a better tool that is ready to exit the toolbox, see Paid Data Money for SQL is a good way to go. Each has its own unique way of dealing with SQL and data visualization, so what’s good for other companies may not be the right choice for you.
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Microsoft Power BI is a business intelligence tool integrated into the Microsoft ecosystem along with Excel, Access, SQL Server and more.
Power Query Editor allows you to create queries in Power BI. You have the option of using a series of menus and options to generate simple queries without a little code, or you can go to advanced settings and use SQL directly.
(That’s us! 👋) is a business intelligence tool that empowers everyone to understand and act on their company data.
There is a proprietary SQL language called Visual SQL that is based on SQL to make it easier for everyone to use. It is an important drag-and-drop interface to create queries.
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Looker is a business intelligence tool with some powerful proprietary technology used to visualize data. It was recently acquired by Google Cloud, putting its future as an independent device in question.
Looker uses a proprietary language called LookML to generate SQL queries and sample data. It makes waves when it
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