Licensing Directions on Microsoft.The-Bottom-Line-Cost-of-Active-Directory.png' alt='Microsoft Active Directory Client Access License Cost' title='Microsoft Active Directory Client Access License Cost' />A comprehensive Windows 10 resource for IT professionals.Find downloads, tools, technical documentation, best practices, and other learning resources to help upgrade.System Center 2012 R2 Licensing Guide i Volume Licensing reference guide System Center 2012 R2.Microsoft Ignite Announcements James Serras Blog.Many product announcements were made this week at Microsoft Ignite, and I wanted to give a quick overview of all the data platform related announcements SQL Server 2.Linux, Windows, and Docker, generally available on October 2nd.SQL Server 2. 01.Windows and various flavors of Linux Red Hat Enterprise Linux 7.SUSE Linux Enterprise Server 1.Ubuntu and Docker.The official Docker image is based on Ubuntu 1.The performance of SQL Server on Linux vs Windows is basically the same.However, not everything has been ported.There are no Reporting Services or Analysis Services, nor Machine Learning Services, transactional replication, Stretch DB, or File Table see Unsupported features and services.Management tools remain for the most part Windows only, though command line tools work.The major new features are graph query support, Python in Machine Learning Services, SSIS scale out, and Adaptive Query Processing and Automatic Tuning for better query optimization.Learn more and see Whats new in SQL Server 2.Azure Database Migration Service DMS and Azure SQL Database Managed Instance, public preview.New Managed Instance offering within SQL Database offers near complete SQL Server compatibility and network isolation for easiest lift and shift to Azure.DMS offers a fully managed, first party Azure service that enables customers to easily migrate their on premises SQL server databases to Azure SQL Database Managed Instance and SQL Server in Azure Virtual Machines with minimal to no downtime.Customers can maximize existing license investments with discounted rates on Managed Instance using a new Azure Hybrid Benefit for SQL Server.Sign up for news on availability.Azure Machine Learning, new capabilities in public preview.Updates connect every element of the data science process with enhanced productivity and collaboration for AI developers and data scientists at any scale.Enables them to start building right away with their choice of tools and frameworks.The updated platform includes a enhanced data cleansing and prepping tool called ML Workbench to start the modeling process sooner.It is a client application that runs on Windows and Mac and is targeted at data scientists who are not users of Visual Studio and integrates with popular open source data science toolkits such as Python Scikit Learn, Jupyter Notebooks and Matplotlib.It integrates with the cloud by seamlessly moving the heavy lifting to the GPU powered VMs in Azure.Other new capabilities include The Azure Machine Learning Experimentation service allows developers and data scientists to increase their rate of experimentation The Model Management service provides deployment, hosting, versioning, management, and monitoring for models in Azure, on premises, and to IOT Edge devices.These new features will help data scientists develop, deploy, and manage machine learning and AI models at any scale wherever data lives in the cloud, on premises, and edge.Learn more on the Azure Machine Learning page and Diving deep into whats new with Azure Machine Learning.Microsoft Cognitive Services updates.Includes general availability of Text Analytics API, a cloud based service for language processing such as sentiment analysis, key phrase extraction and language detection.In October, we will also make generally available Bing Custom Search to create customized search experience for a section of the web, and Bing Search APIs v.Bing Web, News, Video Image search.Read the announcement blog post.Announcing the preview of Machine Learning Services with R support in Azure SQL Database.You can evaluate this preview functionality in any serverdatabase created in the West Central US Region.More info. Azure Data Factory ADF announcing new capabilities in public preview.These new capabilities in ADF will enable you to build hybrid data integration at scale.Now you can create, schedule, and orchestrate your ETLELT workflows, wherever your data lives, in the cloud or on any self hosted network.Meet security and compliance needs while taking advantage of extensive capabilities and paying only for what you use.Accelerate your data integration with multiple data source connectors natively available in service.SQL Server Integration Services SSIS customers will benefit from easily lifting their SSIS packages into the cloud using new managed SSIS hosting capabilities in Data Factory.We have taken the first steps to separate Control Flow and Data Flow within ADF to provide greater control over complex orchestrations that now facilitate looping, branching, and conditional structures within Control Flow.We have added new flexibility to scheduling by enabling triggering with wall clock timers or on demand via event generation.Parameters can now be defined and passed while invoking pipelines to enable incremental data loads. Download Film 18 Format Mp4 To Wmv . If you want to move your SSIS workloads, you can create a data factory version 2, and provision an Azure SSIS Integration Runtime IR.The Azure SSIS IR is a fully managed cluster of Azure VMs nodes dedicated to run your SSIS packages in the cloud.For step by step instructions, see the tutorial deploy SSIS packages to Azure.Full details of the release and features can be found on the Azure Data Factory service page.We encourage you to try these new capabilities, available at public preview pricing.Announcing the preview for the Azure Data Box.A hardware appliance that companies can use to load their data for shipping to the closest Microsoft Azure data center.The 4. 5 lb box, which is tamper proof, holds up to 1.TB of data. It plugs into a corporate network for downloads, and then into Azures own high speed networks to upload its contents.Companies will be able to rent it, fill it, and ship it while tracking its progress.Data on the device will be encrypted throughout the journey.More info. Introducing Azure Availability Zones for resiliency and high availability.Availability Zones are fault isolated locations within an Azure region, providing redundant power, cooling, and networking.Availability Zones allow customers to run mission critical applications with higher availability and fault tolerance to datacenter failures.More info. Public preview Virtual network service endpoints for Azure Storage and SQL Database.You can now secure Azure Storage and Azure SQL Database to only your virtual networks, by using virtual network service endpoints.Endpoints provide a direct connection from your virtual network to the Azure services, extending your virtual networks private address space and identity to the services.Traffic from your virtual network to the services will always remain on the Microsoft Azure network backbone.More info. Intelligent insights for Azure SQL Database.Azure SQL Database built in intelligence continuously monitors database usage through artificial intelligence and detects disruptive events that cause poor performance.Once detected, a detailed analysis is performed generating a diagnostic log with intelligent assessment of the issue.This assessment consists of a root cause analysis of the database performance issue and where possible recommendations for performance improvements.More info. Read replicas for Azure Database for My.SQL. Read replicas will allow customers using My.SQL on premises or on other cloud service providers to create replicas of their instance in Azure.They can then choose to upgrade the replica to master in Azure Database for My.SQL, and connect their apps directly to the new database instance.If you are interested in understanding the functionality of this private preview visit the Azure blog or more information.Renamed R Server to Machine Learning Server.Announced was the renaming of Microsoft R Server to Microsoft Machine Learning Server and SQL Server R Services to SQL Server Machine Learning Services.The additional language support aligns the Advanced Analytics workload to Machine Learning capabilities and focus on AI.With Python support in addition to R and Microsoft ML libraries we enhance Machine Learning capabilities and offer the ability to develop new intelligent applications combining the best of open source and enterprise capabilities of SQL Server 2.More info. Azure SQL Database Vulnerability Assessment.
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