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But this database solution also provides the performance, security, and analytics of SQL Server. As part of the Azure SQL family, SQL Server on Azure Virtual Machines offers the flexibility and hybrid connectivity of Azure.
#Microsoft access database ideas code
SQL Server on Azure Virtual Machines provides a way to migrate SQL Server workloads to the cloud with 100 percent code compatibility. Serverless compute and Hyperscale storage options automatically scale resources on demand. SQL Database also provides AI-powered, automated features that optimize performance and durability. As a fully managed service, SQL Database handles database management functions like upgrading, patching, backups, and monitoring. SQL Database is a relational database service that's part of the Azure SQL family. See the Azure pricing calculator to estimate costs for Azure resources. This solution uses the following components. These database services can also form the core of business intelligence solutions that offer analytics and insights.
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SQL Server, a database engine for structured and unstructured data.As an infrastructure as a service (IaaS) offering, this service provides a customizable database engine. Azure SQL Database, which offers the benefits of a fully managed platform as a service (PaaS).This solution can configure the following target databases: In this role, Microsoft Service for DRDA converts the Db2 SQL statements and runs them on the Azure database. Microsoft Service for DRDA is a component of HIS that functions as a DRDA Application Server (AS). The HIS server receives the request and forwards it to the target database.
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Db2 configurations reroute the request to the HIS server. The applications can then access Azure databases in the same way that they access local mainframe or midrange tables.Ī mainframe or midrange application sends a SQL request to the local Db2 subsystem. The solution involves adjusting the Db2 database configuration. These applications use languages and environments like COBOL, CICS, TSO, PL1, Java, and JCL. Mainframe and midrange applications run on the on-premises system. HIS connects IBM systems with Azure systems.
#Microsoft access database ideas software
Host Integration Server (HIS) software runs on an on-premises or Azure virtual machine (VM). Arrows also point back and forth between the mainframe database cylinder and the rectangle that represents software in the Azure part.ĭownload a Visio file of this architecture. The other icon has the label IaaS and shows a computer. One icon has the label PaaS and shows a database in a cloud. The first rectangle represents software and contains a computer icon. The Azure part of the diagram contains two rectangles with arrows pointing back and forth between them. Arrows point back and forth between the cylinder and the rectangle.
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The second component is a rectangle filled with the names of mainframe languages and environments. The first component is a cylinder that represents a database. The mainframe part has the label I B M and contains two components. Mainframe or midrange systems with workloads that need remote access to SQL Server databases.Ī vertical line divides the diagram into two parts, one for mainframe components and one for Azure components.This case covers systems with mainframe applications in COBOL, PL/I, or assembly language that need access to an Azure SQL Server database. Hybrid situations, or environments that combine on-premises and cloud datacenters.Coexistent environments that have modernized data as part of a data-first migration but still run mainframe or midrange applications.Various scenarios can benefit from this solution: In this solution, Microsoft Service for DRDA connects Db2 clients to SQL Server–based databases by supporting this protocol. IBM Db2 clients and servers use the Distributed Relational Database Architecture (DRDA) protocol to communicate. The approach requires zero or minimal changes in application code. This solution outlines a way for IBM mainframe and midrange applications to access remote Azure databases. If you'd like to see us expand this article with more information, such as potential use cases, alternative services, implementation considerations, or pricing guidance, let us know with GitHub Feedback!