20

Feb

Join us at SQL Bits 2019 February 27-March 2 in Manchester, UK!
Join us at SQL Bits 2019 February 27-March 2 in Manchester, UK!

Data never rests, nor does the data platform. It keeps evolving as more organizations turn to data driven insights to stay ahead and prepare for the future.

Be a part of the largest SQL Server professional gathering in Europe at SQL Bits 2019. At SQL Bits, you have the unique opportunity to meet with community leaders sharing their real world experience and Microsoft product teams providing deep insights into Microsoft data solutions.

For those attending this year, weve put together a quick guide below on some of the Data and AI sessions you can look forward to. Cant wait until SQL Bits? Check out the conference sessions to get a taste of what you wont want to miss at SQL Bits 2019.

SQL Bits is also running a promotion right now to share their love for data. Save 50% when you add an extra day using the code: welovedata

Register Now Keynote Friday, March 1

Data Never Rests

Speaker: Buck Woody and Bob Ward

In todays world, the growth of data is ushering in an era of rapid innovation. Microsofts goal is to bring the best hybrid data platform to help data professionals in building

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20

Feb

Live stream analysis using Video Indexer

Video Indexer is an Azure service designed to extract deep insights from video and audio files offline. This is to analyze a given media file already created in advance. However, for some use cases it’s important to get the media insights from a live feed as quick as possible to unlock operational and other use cases pressed in time. For example, such rich metadata on a live stream could be used by content producers to automate TV production, like our example of EndemolShine Group, by journalists of a newsroom to search into live feeds, to build notification services based on content and more.

To that end, I joined forces with Victor Pikula a Cloud Solution Architect at Microsoft, in order to architect and build a solution that allows customers to use Video Indexer in near real-time resolutions on live feeds. The delay in indexing can be as low as four minutes using this solution, depending on the chunks of data being indexed, the input resolution, the type of content and the compute powered used for this process.

Figure 1 – Sample player displaying the Video Indexer metadata on the live stream

The stream analysis solution at hand, uses Azure

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20

Feb

Use GraphQL with Hasura and Azure Database for PostgreSQL
Use GraphQL with Hasura and Azure Database for PostgreSQL

Azure Database for PostgreSQL provides a fully managed, enterprise-ready community PostgreSQL database as a service. The PostgreSQL community edition helps you easily migrate existing apps to the cloud or develop cloud-native applications, using languages and frameworks of your choice. The service offers industry leading innovations such as built-in high availability, backed with 99.99 percent SLA, without the need to set up replicas and enabling customers to save over two times the cost. The capability also allows customers to scale compute up or down in seconds, helping you easily adjust to changes in workload demands.

Additionally, built-in intelligent features such as Query Performance Insight and performance recommendations help customers further lower their total cost of ownership (TCO) by providing customized recommendations and insights to optimize the performance of their Postgres databases. These benefits coupled with unparalleled security and compliance, Microsoft Azure’s industry leading global reach, and Azure IP Advantage, empower customers to focus on their business and applications rather than the database.

As part of the broader Postgres community, our aim is to contribute to and partner with others in the community to bring new features to Azure Database for PostgreSQL users. You can now take advantage of the Hasura GraphQL

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20

Feb

Update to Azure DevOps Projects support for Azure Kubernetes Service

https://azure.microsoft.com/blog/update-to-azure-devops-projects-support-for-azure-kubernetes-service/

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20

Feb

Class schedules on Azure Lab Services
Class schedules on Azure Lab Services

Classroom labs in Azure Lab Services make it easy to set up labs by handling the creation and management of virtual machines and enabling the infrastructure to scale. Through our continuous enhancements to Azure Lab Services, we are proud share that the latest deployment now includes added support for class schedules.

Schedules management is one of the key features requested by our customers. This feature helps teachers easily create, edit, and delete schedules for their classes. A teacher can set up a recurring or a one-time schedule and provide a start, end date, and time for the class in the time zone of choice. Schedules can be viewed and managed through a simple, easy to use calendar view.

Students virtual machines are turned on and ready to use when a class schedule starts and will be turned off at the end of the schedule. This feature helps limit the usage of virtual machines to class times only, thereby helping IT admins and teachers manage costs efficiently.

Schedule hours are not counted against quota allotted to a student. Quota is the time limit outside of schedule hours when a student can use the virtual machine.

With schedules, we are also

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19

Feb

Power BI Developer community January update
Power BI Developer community January update

https://powerbi.microsoft.com/en-us/blog/power-bi-developer-community-january-update-2/Source: https://powerbi.microsoft.com/en-us/blog/power-bi-developer-community-january-update-2/             This blog post covers the latest updates for Power BI Developers community. Don’t forget to check out our latest developer blog post, if you haven’t done so already. Embedded analytics   Here READ MORE

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19

Feb

More reliable event-driven applications in Azure with an updated Event Grid

We have been incredibly excited to be a part of the rise of event-driven programming as a core building block for cloud application architecture. By making the following features generally available, we want to enable you to build more sophisticated, performant, and stable event-driven applications in Azure. We are proud to announce the general availability of the following set of features, previously in preview:

Dead lettering Retry policies Storage Queues as a destination Hybrid Connections as a destination Manual Validation Handshake

To take advantage of the GA status of the features, make sure you are using our 2019-01-01 API and SDKs. If you are using the Azure portal or CloudShell, you’re already good to go. If you are using CLI or PowerShell, make sure you have versions 2.0.56 or later for CLI and 1.1.0 for PowerShell.

Dead lettering

Dead lettering gives you an at-least-once guarantee that you will receive your events in mission critical systems. With a dead letter destination set, you will never lose a message even if your event handler is down, your authorization fails, or a bug in your endpoint is overwhelmed with volume.

Dead lettering allows you to connect each event subscription to a storage account,

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18

Feb

Insights made easy with Power BI Template Apps
Insights made easy with Power BI Template Apps

https://powerbi.microsoft.com/en-us/blog/insights-made-easy-with-power-bi-template-apps/Source: https://powerbi.microsoft.com/en-us/blog/insights-made-easy-with-power-bi-template-apps/           Data is most valuable when it leads to informed action. Making it easier for people to get actionable insights is what Power BI is all about. Now, with Power BI Template Apps, users READ MORE

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18

Feb

Azure.Source – Volume 70
Azure.Source – Volume 70

Now in preview Anomaly detection using built-in machine learning models in Azure Stream Analytics

Many customers use Azure Stream Analytics to continuously monitor massive amounts of fast-moving streams of data to detect issues that do not conform to expected patterns and prevent catastrophic losses. This in essence is anomaly detection. Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide. See how to use simple SQL language to author and deploy powerful analytics processing logic that can scale-up and scale-out to deliver insights with millisecond latencies.

Anomaly detection using machine learning in Azure Stream Analytics

Update 19.02 for Azure Sphere public preview now available

Device builders can now bring the security of Azure Sphere to products even faster than ever before. The Azure Sphere 19.02 release is now available in preview and focuses on broader enablement of device capabilities, reducing time to market with new reference solutions, and continuing to prioritize features based on feedback from organizations building with Azure Sphere. To build applications that leverage this new functionality, you will need to ensure that

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14

Feb

How Azure Security Center helps you protect your environment from new vulnerabilities

Recently the disclosure of a vulnerability (CVE-2019-5736) was announced in the open-source software (OSS) container runtime, runc. This vulnerability can allow an attacker to gain root-level code execution on a “host. runc” which is the underlying container runtime underneath many popular containers.

Azure Security Center can help you detect vulnerable resources in your environment within Microsoft Azure, on-premises, or other clouds. Azure Security Center can also detect that an exploitation has occurred and alert you.

Azure Security Center offers several methods that can be applied to mitigate or detect malicious behavior:

Strengthen security posture – Azure Security Center periodically analyzes the security state of your resources. When it identifies potential security vulnerabilities it creates recommendations. The recommendations guide you through the process of configuring the necessary controls. We have plans to add recommendations when unpatched resources are detected. You can find more information about strengthening security posture by visiting our documentation, “Managing security recommendations in Azure Security Center.” File Integrity Monitoring (FIM) – This method examines files and registry keys of operating systems, application software, and more, for changes that might indicate an attack. By enabling FIM, Azure Security Center will be able detect changes in the directory which can

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