https://blogs.msdn.microsoft.com/sql_server_team/sql-server-2019-ctp-2-0-new-features-columnstore-support-for-sp_estimate_data_compression_savings/Source: https://blogs.msdn.microsoft.com/sql_server_team/sql-server-2019-ctp-2-0-new-features-columnstore-support-for-sp_estimate_data_compression_savings/ Next up for new Storage Engine area features in SQL Server 2019 is an update to the sp_estimate_data_compression_savings stored procedure to add support for both columnstore and columnstore archive compression. This stored procedure has been around since READ MORE
Azure Update Management is a service included as part of your Azure Subscription that enables you to assess your update status across your environment and manage your Windows and Linux server patching from a single pane of glass, both for on-premises and Azure.
Update Management is available at no additional cost (you only pay for log data stored in the Azure Log Analytics service) and can easily be enabled on Azure and on-premises VMs. To try it, simply navigate to your VM tab in Azure and enable Update management on one or more of your machines.
Over the past year we’ve been listening to your feedback and bringing powerful new capabilities to Azure Update Management. Here’s a look at some of the new features we have developed with your help.
One of the biggest asks from the community this year is for more flexibility in targeting update deployments, specifically support for groups with dynamic membership. Instead of specifying a static set of machines when you create an update deployment, groups allow you to specify a query that will be evaluated each time an update deployment occurs.
We have released a preview feature that enables you to create an Azure-native
I’m grateful to have the opportunity to speak at HashiConf ’18. It’s always awesome to work with Mitchell, Armon, and the talented engineers at HashiCorp because I believe that we share the same focus on building pragmatic, open-source, and enterprise-ready tools for the cloud. With that strong vision and partnership in mind, I’m excited to describe some of the work that we have done since our announcements at last year’s HashiConf, to bring together the best of HashiCorp’s user focused experiences with the strengths of the Azure cloud.
Our engineering teams have collaborated to expand the resources and services supported by the Terraform provider for AzureRM and added several new integrations with HashiCorp Vault. For this post, I thought it would be beneficial for readers to see the great strides that we’ve made in our partnership with HashiCorp by reviewing some of the major milestones that we hit this year.
Terraform updates in Azure Cloud Shell
Honestly, Cloud Shell is one of my favorite features in Azure. A cloud-based workspace accessible from anywhere and on any device means that I can easily create, monitor and update my cloud resources regardless of where I am. For some time now, we have
Now in preview
Announcing the public preview of Azure Digital Twins – Azure Digital Twins is an Azure IoT service that creates comprehensive models of the physical environment. Among its many features is the ability to create spatial intelligence graphs to model the relationships and interactions between people, spaces, and devices. Announced at Ignite last month in Orlando, Azure Digital Twins is now available in Public Preview. To provide concrete examples of how partners are packaging the capabilities present in Azure Digital Twins to create digital twins of physical environments, below are images of what finished solutions can look like and how they can be visualized.
IoT SWC 2018: IoT solutions for the built world – We attended the IoT Solutions World Congress (SWC) 2018 in Barcelona last week. Check out what was covered, including the public preview of the Vision AI developer kit and the announcement of Azure Digital Twins (see above).
Apache Spark jobs gain up to 9x speed up with HDInsight IO Cache – HDInsight IO Cache, a new transparent data caching feature of Azure HDInsight that provides customers with up to a 9x performance improvement for Apache Spark jobs, is now available in preview. Azure
This blog is co-authored by Wee Hyong Tok, Principal Data Scientist Manager, Office of the CTO AI.
In recent years, we have seen a leap in practical AI innovations catalyzed by vast amounts of data, the cloud, innovations in algorithms, hardware and more. So how do developers begin to design AI applications that engage and delight your customers, optimize operations, empower your employees, and transform products?
Using Azure Cognitive Services you can now infuse your applications, websites, and bots with intelligent capabilities. These capabilities build on years of research done on vision, speech, knowledge, search, and language. Using different cognitive services, developers can now easily add AI capabilities without training the machine learning models from scratch.
O’Reilly and Microsoft are excited to bring you a free e-book on AI, titled A Developer’s Guide to Building AI Applications. In this e-book, Anand Raman and Wee Hyong Tok of Microsoft provide a gentle introduction to use Azure AI for building intelligent, AI applications. They provide a practical example of a bot called “Conference Buddy”, that is used by conference attendees. The e-book walks through the use case, the architecture, and how to create the bot while infusing it with AI. The code
Whether you are a developer, site reliability engineer, IT Ops specialist, program manager, or a DevOps practitioner monitoring is something you definitely care about! With modern applications evolving from an on-premises world to becoming more hybrid or microservices based, there is also a need to evolve skill sets and adopt some best practices for a successful monitoring strategy on a hybrid/public cloud.
Azure Monitor is Microsoft’s unified monitoring solution that provides full-stack observability across applications and infrastructure. Depending on the hat you are wearing at the moment, you can start with end-to-end visibility across the health of your resources, drill down to the most probable root cause of a problem, even to actual lines of code, fix the issue in your app or infrastructure, and re-deploy in a matter of minutes. If you have a robust monitoring pipeline setup, you should be able to find and fix issues way before it starts impacting your customers.
Many of you already know how Continuous Integration and Continuous Deployment (CI/CD) as a DevOps concept can help you deliver software faster and more reliably to provide continuous value to your users. Continuous Monitoring (CM) is a new follow-up concept where you can
This post was authored by Rodney Clark, VP, IOT Sales, CDS.
A couple years back, I remember seeing a published IoT time-to-value diagram. It laid out the multiple steps that it takes to complete an IoT solution and deploy to customers, including the various partner types and skillsets needed in each phase.
At that moment it became evident to me that there was an opportunity that had not yet been captured — and that was how to connect these partners and bridge their capabilities to expedite time to value for partners and customers alike. IoT is involved from both a product perspective and a partner perspective. There are a lot of moving pieces, and it can be daunting to determine the best IoT solution, identify the right partners, and achieve a clear ROI expectation at the start.
That’s where Microsoft, with its partner-plus-platform approach, fills a huge need and is driving change in the IoT industry. We’ve done a great job innovating the most consistent and comprehensive set of edge-to-cloud services available. And, in addition to driving R&D and continued product innovation, we’re leveraging part of our $5 billion IoT investment to fuel the IoT partner ecosystem to accelerate business
As a cloud service provider, we understand the importance of maintaining the integrity and confidentiality of customer data. To continue to help you maximize your data security and privacy, we are announcing Customer Lockbox for Microsoft Azure. It is a service integrated into Azure portal that gives you explicit control in the very rare instance when a Microsoft Support Engineer may need access to your data to resolve an issue.
There are very few instances, such as a debugging remote access issue, where a Microsoft Support Engineer requires elevated permissions to resolve this issue. In such cases, Microsoft engineers use just-in-time access service that provides limited, time-bound authorization with access limited to the service. While Microsoft has always obtained customer consent for access, Customer Lockbox now gives customers the ability to review and approve or deny such requests from Azure Portal. Until the request is approved, Microsoft Support Engineer will not be granted access.
The entire process is audited so customers maintain full visibility and control. All Customer Lockbox activity will be available in Azure Portal. If you are using Azure Security Center, the VM agent that you have installed on your virtual machines can provide logs on activities
Today at Sibos 2018, the world’s premier financial services event, Microsoft and SWIFT announced a cloud native proof of concept (POC) to host SWIFT infrastructure and enable cloud native payment transfers on Microsoft Azure. Together, the two companies are working to facilitate the future deployment of SWIFT messaging solutions in the cloud, enabling faster, more efficient and secure operations for banks, corporates, service bureaus, and other payments ecosystem players.
SWIFT is the world’s leading provider of secure financial messaging services used and trusted by more than 11,000 financial institutions in more than 200 countries and territories. Today, enterprises and banks conduct these transactions by sending payment messages over the highly secure SWIFT network, leveraging on-premises installations of SWIFT technology. The proof of concept creates a bank-like wire transfer experience with the added operational, security and intelligence benefits the Microsoft Cloud offers.
“This is a big step forward in demonstrating the potential of the cloud in improving back-office operational efficiency. SWIFT continually seeks to reduce and remove friction and eliminate operational inefficiencies within the financial services payment ecosystem,” said Arnaud Boulnois, head of customer platforms at SWIFT. “Cloud adoption continues to increase within the financial services industry, and we are thrilled
https://powerbi.microsoft.com/en-us/blog/webinar-10-23-advanced-data-prep-with-power-bi-dataflows-for-unified-data-and-powerful-insights/Source: https://powerbi.microsoft.com/en-us/blog/webinar-10-23-advanced-data-prep-with-power-bi-dataflows-for-unified-data-and-powerful-insights/ Webinar covering Power BI advanced data prep with dataflows—a suite self-service low-code/no-code features and capabilities for business analysts to easily process and unify their data and store it in Azure-based data-lake storage.