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Steps on how to create a working pipeline to release #SSIS packages using #Azure #DevOps from the creation of the artifact to the #deployment.
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https://madesimplemssql.com/
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Database design and management course and Assignment help
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Optimize Your Data Management with Microsoft SQL Server Services
Enhance your database performance, security, and scalability with Microsoft SQL Server Services. Whether you need database development, administration, or optimization, our expert solutions ensure seamless data management and business intelligence. Explore the power of SQL Server today! 🚀
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Microsoft SQL Server 2025: A New Era Of Data Management

Microsoft SQL Server 2025: An enterprise database prepared for artificial intelligence from the ground up
The data estate and applications of Azure clients are facing new difficulties as a result of the growing use of AI technology. With privacy and security being more crucial than ever, the majority of enterprises anticipate deploying AI workloads across a hybrid mix of cloud, edge, and dedicated infrastructure.
In order to address these issues, Microsoft SQL Server 2025, which is now in preview, is an enterprise AI-ready database from ground to cloud that applies AI to consumer data. With the addition of new AI capabilities, this version builds on SQL Server’s thirty years of speed and security innovation. Customers may integrate their data with Microsoft Fabric to get the next generation of data analytics. The release leverages Microsoft Azure innovation for customers’ databases and supports hybrid setups across cloud, on-premises datacenters, and edge.
SQL Server is now much more than just a conventional relational database. With the most recent release of SQL Server, customers can create AI applications that are intimately integrated with the SQL engine. With its built-in filtering and vector search features, SQL Server 2025 is evolving into a vector database in and of itself. It performs exceptionally well and is simple for T-SQL developers to use.Image credit to Microsoft Azure
AI built-in
This new version leverages well-known T-SQL syntax and has AI integrated in, making it easier to construct AI applications and retrieval-augmented generation (RAG) patterns with safe, efficient, and user-friendly vector support. This new feature allows you to create a hybrid AI vector search by combining vectors with your SQL data.
Utilize your company database to create AI apps
Bringing enterprise AI to your data, SQL Server 2025 is a vector database that is enterprise-ready and has integrated security and compliance. DiskANN, a vector search technology that uses disk storage to effectively locate comparable data points in massive datasets, powers its own vector store and index. Accurate data retrieval through semantic searching is made possible by these databases’ effective chunking capability. With the most recent version of SQL Server, you can employ AI models from the ground up thanks to the engine’s flexible AI model administration through Representational State Transfer (REST) interfaces.
Furthermore, extensible, low-code tools provide versatile model interfaces within the SQL engine, backed via T-SQL and external REST APIs, regardless of whether clients are working on data preprocessing, model training, or RAG patterns. By seamlessly integrating with well-known AI frameworks like LangChain, Semantic Kernel, and Entity Framework Core, these tools improve developers’ capacity to design a variety of AI applications.
Increase the productivity of developers
To increase developers’ productivity, extensibility, frameworks, and data enrichment are crucial for creating data-intensive applications, such as AI apps. Including features like support for REST APIs, GraphQL integration via Data API Builder, and Regular Expression enablement ensures that SQL will give developers the greatest possible experience. Furthermore, native JSON support makes it easier for developers to handle hierarchical data and schema that changes regularly, allowing for the development of more dynamic apps. SQL development is generally being improved to make it more user-friendly, performant, and extensible. The SQL Server engine’s security underpins all of its features, making it an AI platform that is genuinely enterprise-ready.
Top-notch performance and security
In terms of database security and performance, SQL Server 2025 leads the industry. Enhancing credential management, lowering potential vulnerabilities, and offering compliance and auditing features are all made possible via support for Microsoft Entra controlled identities. Outbound authentication support for MSI (Managed Service Identity) for SQL Server supported by Azure Arc is introduced in SQL Server 2025.
Additionally, it is bringing to SQL Server performance and availability improvements that have been thoroughly tested on Microsoft Azure SQL. With improved query optimization and query performance execution in the latest version, you may increase workload performance and decrease troubleshooting. The purpose of Optional Parameter Plan Optimization (OPPO) is to greatly minimize problematic parameter sniffing issues that may arise in workloads and to allow SQL Server to select the best execution plan based on runtime parameter values supplied by the customer.
Secondary replicas with persistent statistics mitigate possible performance decrease by preventing statistics from being lost during a restart or failover. The enhancements to batch mode processing and columnstore indexing further solidify SQL Server’s position as a mission-critical database for analytical workloads in terms of query execution.
Through Transaction ID (TID) Locking and Lock After Qualification (LAQ), optimized locking minimizes blocking for concurrent transactions and lowers lock memory consumption. Customers can improve concurrency, scalability, and uptime for SQL Server applications with this functionality.
Change event streaming for SQL Server offers command query responsibility segregation, real-time intelligence, and real-time application integration with event-driven architectures. New database engine capabilities will be added, enabling near real-time capture and publication of small changes to data and schema to a specified destination, like Azure Event Hubs and Kafka.
Azure Arc and Microsoft Fabric are linked
Designing, overseeing, and administering intricate ETL (Extract, Transform, Load) procedures to move operational data from SQL Server is necessary for integrating all of your data in conventional data warehouse and data lake scenarios. The inability of these conventional techniques to provide real-time data transfer leads to latency, which hinders the development of real-time analytics. In order to satisfy the demands of contemporary analytical workloads, Microsoft Fabric provides comprehensive, integrated, and AI-enhanced data analytics services.
The fully controlled, robust Mirrored SQL Server Database in Fabric procedure makes it easy to replicate SQL Server data to Microsoft OneLake in almost real-time. In order to facilitate analytics and insights on the unified Fabric data platform, mirroring will allow customers to continuously replicate data from SQL Server databases running on Azure virtual machines or outside of Azure, serving online transaction processing (OLTP) or operational store workloads directly into OneLake.
Azure is still an essential part of SQL Server. To help clients better manage, safeguard, and control their SQL estate at scale across on-premises and cloud, SQL Server 2025 will continue to offer cloud capabilities with Azure Arc. Customers can further improve their business continuity and expedite everyday activities with features like monitoring, automatic patching, automatic backups, and Best Practices Assessment. Additionally, Azure Arc makes SQL Server licensing easier by providing a pay-as-you-go option, giving its clients flexibility and license insight.
SQL Server 2025 release date
Microsoft hasn’t set a SQL Server 2025 release date. Based on current data, we can make some confident guesses:
Private Preview: SQL Server 2025 is in private preview, so a small set of users can test and provide comments.
Microsoft may provide a public preview in 2025 to let more people sample the new features.
General Availability: SQL Server 2025’s final release date is unknown, but it will be in 2025.
Read more on govindhtech.com
#MicrosoftSQLServer2025#DataManagement#SQLServer#retrievalaugmentedgeneration#RAG#vectorsearch#GraphQL#Azurearc#MicrosoftAzure#MicrosoftFabric#OneLake#azure#microsoft#technology#technews#news#govindhtech
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SQL Server 2012 Standard Lisans Anahtarı
Tür: Dijital Lisans Anahtarı
Ömür Boyu Aktivasyon
Ürün Garantisi %100 güvenilir
Hızlı teslimat ve 7/24 teknik destek
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Embark on a journey through the intricate realm of SQL functions as we unravel the mysteries behind their execution order. In this enlightening guide, we meticulously explore the sequence in which 7 crucial SQL functions operate, providing a crystal-clear understanding for both beginners and seasoned developers.
Delve into the fundamental aspects of SQL as we break down the intricacies of functions such as SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY, and LIMIT. Gain profound insights into the logical flow that governs their execution, empowering you to optimize query performance, streamline data retrieval, and enhance your overall database management skills.
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#kaara We are Hiring ".Net Developer"
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Hướng Dẫn Cài Đặt Window_Exporter để Monitor Microsoft SQL Server
Hướng Dẫn Cài Đặt Window_Exporter để Monitor Microsoft SQL Server #windowexporter #SQLServer #monitoring #Windows #hướngdẫn Bước 1: Tải xuống file cài đặt window_exporter mới nhất. Bước 2: Cài đặt window_exporter. Nhấp chuột phải vào file cài đặt vừa tải về, chọn “Install”, rồi nhấn “Run”. Quá trình cài đặt sẽ tự động cấu hình các thiết lập mặc định của window_exporter. Bước 3: Kiểm tra trạng…
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Top Oracle Exadata Databases Run Faster On AMD EPYC CPUs

The best databases in the world perform better on AMD EPYC processors.
Oracle Exadata
They at AMD think that their EPYC processors are the finest data center CPUs available. Their clients concur. EPYC processors have become widely used, as shown by the fact that they run the Frontier system at Oak Ridge National Laboratory, the most powerful supercomputer in the world, and that they are used in over 800 public cloud instances across all major cloud service providers. Businesses are using more and more EPYC CPUs to power their on-premise infrastructures across all business verticals.
Indeed, AMD EPYC now holds over 300 world records for efficiency and performance, both on-site and in the cloud. However, did you realize that data management and analytics account for more than 50 of those records? This indicates that AMD EPYC is the best option available for processing the most important and fundamental business tasks in the globe.
The two databases that big businesses use the most often are Oracle and Microsoft SQL Server. AMD’s 4th Gen EPYC CPUs provide impressive performance whether you’re using Microsoft SQL Server or the Oracle Exadata Database Platform. First, let’s examine the Oracle Exadata platform to understand how AMD EPYC has contributed to the advancement of database computing.
The Database Platform for Oracle Exadata
Managing workloads for Oracle Exadata databases is a major endeavor. Exadata offers real-time vector search capabilities, analytics, and fast transaction processing. Tasks that are vital to the mission may be handled by the Exadata system. These workloads allow for the instantaneous completion of online financial transactions while instantly detecting fraudulent activity. These database workloads help carriers maintain their networks and keep up with the increasing needs of the worldwide 5G network. They also keep the internet transactions flowing, particularly during the peak shopping seasons of Cyber Monday and Single’s Day.
Oracle developed the Oracle Exadata Database Platform to provide performance, scalability, availability, and security while supporting these workloads. This platform, which includes hardware, software, and an Oracle database, is simple to set up.
Oracle made a significant shift in 2023 after depending on Intel CPUs for years to power the Oracle Exadata Database Platform. Oracle decided to employ the 4th generation AMD EPYC CPU (previously code-named “Genoa”) in the most recent version X10M Exadata system in order to achieve better performance and energy efficiency.
Exadata Oracle
Think about the impact that EPYC CPUs have: Compared to the preceding Exadata X9M-2 system, the Exadata X10M Database Platform features three times more database server cores per socket from 32 to 96 cores thanks to AMD EPYC CPUs. More EPYC CPU cores simply translate into more database transactions and quicker analytics when combined with Oracle’s optimized software.
Meanwhile, the dual-socket X10M Database server can now tackle tasks that previously needed pricey and power-hungry 8-socket servers thanks to its remarkable core count. An organization may recover precious space in the data center and save energy by using fewer, smaller servers to do the same tasks.
X10M Database server
In order to ensure that database performance grows linearly with a core count of up to 192 per Database Server (2 X 96 core CPUs), AMD and Oracle worked together to enhance the performance of the new Exadata X10M server. Exadata system software, on the other hand, can encrypt and decrypt data quicker than other components can get it to the chip thanks to the 4th generation AMD EPYC CPU. Furthermore, the Exadata system software was tailored to take full use of AMD EPYC’s reliability, availability, and serviceability (RAS) features. One example of this is Platform First Error Handling, which improves the uptime of workloads related to key databases.
Microsoft SQL Server
Let’s now examine Microsoft SQL Server and see how AMD EPYC leads the industry in database transaction processing speed. Businesses often utilize the TPC (Transaction Processing Performance Council) benchmarks to assess processor performance as well as the overall performance of server systems. To guarantee the validity of the benchmark test findings, TPC.org has an audited library of benchmarks. Let’s examine two widely used TPC benchmarks to assess database performance: TPC-E and TPC-H.
Decision support systems that analyze vast amounts of data, carry out intricate queries, and respond to important business inquiries are evaluated using the TPC-H benchmark. According to this test, the best performance the most queries per hour is achieved by a non-clustered system running Microsoft SQL Server 2022 on a 64-core 4th Gen AMD EPYC CPU. Performance on the AMD-based system is 14% better than that of a system powered by the most recent 5th Gen Intel Xeon 8592+. To put it another way, the firm can evaluate data considerably more quickly and get business outcomes since there are 14% more inquiries answered in an hour.
The findings shown above pertain to a database with a 10TB size. Furthermore, the TPC-H findings show that AMD EPYC powered systems also provide the best non clustered performance for 3 TB (EPYCWR-869) and 1 TB databases (EPYCWR-865).
In the meanwhile, online transaction processing (OLTP) is measured by the TPC-E benchmark. There are twelve simultaneous transactions of varying kinds and complexity involved. Either online or time- or price-based criteria are used to initiate the transactions.
Once again, while running Microsoft SQL Server 2022, the AMD-based system achieves the greatest performance for a non-clustered server on the TPC-E benchmark. When compared to a system using a 5th generation Intel Xeon CPU, the system built around the 4th generation AMD EPYC processor performs 7% better.
In summary
AMD has shown that its EPYC CPUs provide the greatest performance available on the market when used with Microsoft SQL Server and Oracle Exadata databases. It is not worth taking shortcuts when it comes to organizing and evaluating data that is essential to the continuous operation of your organization.
AMD continues to set the standard in the server industry with the upcoming release of 5th Gen EPYC CPUs. For the highest database workloads, AMD’s unrivaled 4th Gen EPYC CPUs are the obvious option for the finest database performance in the interim.
Read more on Govindhtech.com
#AMDEPYCCPUs#AMDEPYCprocessors#EPYCCPUs#Exadata#IntelCPUs#databaseperformance#AMD#SQLServer#Microsoft#IntelXeon#news#technews#technology#technology news
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Join Now: https://bit.ly/3z5A3cU
Attend Online #FreeDemo On #PowerApps and #PowerAutomation by Mr. Rajesh.
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