Special thanks to Lee Schlesinger and the Talend team for their contribution to this blog post.
Following the significant announcement around the continued price-performance leadership of Azure Data Warehouse in February 2019, Talend announced support of Stitch Data Loader for Azure SQL Data Warehouse. Stich Data Loader is Talend’s recent addition to its offering portfolio small and mid-market customers. With Stitch Data Loader, customers can load 5 million rows/month into Azure SQL Data Warehouse for free or scale up to an unlimited number of rows with a subscription.
All across the industry, there is a rapid shift to the cloud. Utilizing fast, flexible, and secure cloud data warehouse is an important first step in that journey. With Microsoft Azure SQL Data Warehouse and Stitch Data Loader companies can get started faster than ever. The fact that ADW can be up to 14x faster, and 94 percent less expensive than similar options in the marketplace, should only help further accelerate adoption of cloud scale analytics by customers of all sizes.
Building pipelines to the cloud with Stitch Data Loader
The Stitch team built the Azure SQL Data Warehouse integration with the help of Microsoft engineers. The solution leverages Azure Blob Storage
Have you ever wondered where those service notifications in the Azure Portal and the Azure Status page come from? Curious why some messages appear to have more information than others? Interested in learning more about what goes into an outage statement? This is your chance to find out!
The Azure Communications team will be hosting a special “Ask Me Anything” (AMA) session on Reddit and Twitter. The Reddit session will be held on Monday, March 11th, from 10:00 AM to noon PST. Customers can participate by posting to the /r/Azure subreddit when the AMA is live. The Twitter session will follow soon after on Wednesday, March 13th, from 10:00 AM to noon PST. Be sure to follow @AzureSupport before March 13th and tweet us during the event using the hashtag #AzureCommsAMA.
Who are we?
We are among the first responders during times of crisis – the ones who draft, approve, and publish most customer-facing communications when outages happen. You’ve probably seen our messages on the Azure Service Health blade in the Portal, the Azure Status webpage, or even on the @AzureSupport Twitter handle. We’d like to think we bridge the gap between customers and the action happening behind the scenes.
This blog was co-authored by Lei Zhang, Principal Research Manager, Computer Vision
You can now extract more insights and unlock new workflows from your images with the latest enhancements to Cognitive Services’ Computer Vision service.
1. Enrich insights with expanded tagging vocabulary
Computer Vision has more than doubled the types of objects, situations, and actions it can recognize per image.
2. Automate cropping with new object detection feature
Easily automate cropping and conduct basic counting of what you need from an image with the new object detection feature. Detect thousands of real life or man-made objects in images. Each object is now highlighted by a bounding box denoting its location in the image.
3. Monitor brand presence with new brand detection feature
You can now track logo placement of thousands of global brands from the consumer electronics, retail, manufacturing, entertainment industries.
With these enhancements, you can:
Do at-scale image and video-frame indexing, making your media content searchable. If you’re in media, entertainment, advertising, or stock photography, rich image and video metadata can unlock productivity for your business. Derive insights from social media and advertising campaigns by understanding the content of images and videos and
The Azure Sphere 19.02 release is available today. In our second quarterly release after public preview, our focus is on broader enablement of device capabilities, reducing your time to market with new reference solutions, and continuing to prioritize features based on feedback from organizations building with Azure Sphere.
Today Azure Sphere’s hardware offerings are centered around our first Azure Sphere certified MCU, the MediaTek MT3620. Expect to see additional silicon announcements in the near future, as we work to expand our silicon and hardware ecosystems to enable additional technical scenarios and ultimately deliver more choice to manufacturers.
Our 19.02 release focuses on broadening what you can accomplish with MT3620 solutions. With this release, organizations will be able to use new peripheral classes (I2C, SPI) from the A7 core. We continue to build on the private Ethernet functionality by adding new platform support for critical networking services (DHCP and SNTP) that enable a set of brownfield deployment scenarios. Additionally, by leveraging our new reference solutions and hardware modules, device builders can now bring the security of Azure Sphere to products even faster than before.
To build applications that leverage this new funcionality, you will need to ensure that you have installed
Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes. Data Engineers or data developers in these organizations want to quickly get started with building data integration solutions and avoid building same workflows repeatedly. Today, we are announcing the support for templates in Azure Data Factory (ADF) to get started quickly with building data factory pipelines and improve developer productivity along with reducing development time for repeat processes. The template feature enables a ‘Template gallery’ for our customers that contains use-case based templates, data movement templates, SSIS templates or transformation templates that you can use to get hands-on with building your data factory pipelines.
Simply click Create pipeline from template on the Overview page or click +-> Pipeline from template on the Author page in your data factory UX to get started.
Select any template from the gallery and provide the necessary inputs to use the template. You can also read detailed description about the template or visualize the end to end data factory pipeline.
You can also create new connections
Azure Monitor, which now includes Log Analytics and Application Insights, provides sophisticated tools for collecting and analyzing telemetry. It allows you to maximize the performance and availability of your cloud, on-premises resources, and applications. It helps you understand how your applications are performing and proactively identifies issues affecting them and the resources on which they depend.
Learn more about how you can get started with Azure Monitor. Now let’s check out what’s new from the past month.
First, a huge thank you to our customers for once again naming Microsoft a Gartner Peer Insights Customers’ Choice for Application Performance Monitoring Suites for its System Center Operations Manager, Microsoft Azure Application Insights, and System Center Global Service Monitor applications.
The end-to-end transactions view now supports time scrubbing. Click and drag over a period of time to filter the view to that time range and analyze it in more detail.
Performance and failures
We’ve squashed a handful of bugs in the performance and failures tools:
The Roles tab now preserves role
This month we’re bringing you updates to several compute (IaaS) resources, the ability to export contents of lists of resources and resource groups as CSV files, an improvement to the layout of essential properties on overview pages, enhancements to the experience on recovery services pages, and expansions of setting options in Microsoft Intune.
Here is a list of February updates to the Azure portal: Compute (laaS) Add a new virtual machine (VM) directly to an application gateway or load balancer Migrate classic virtual machines (VMs) to Azure Resource Manager Virtual machine scale sets (VMSS) password reset Shell Export as CSV in All resources and Resource groups Layout change for essential properties on overview pages Site Recovery Azure Site Recovery UI updates Other Updates to Microsoft Intune
Let’s look at each of these updates in detail.
We learned from you that a common scenario involves adding a new VM to a load balanced set such as setting up a SharePoint form or putting together a
This blog was co-authored by Sujay Talasila, Senior Program Manager, Cloud + Enterprise.
Microsoft Azure is the first public cloud to offer native disaster recovery (DR) solution for applications running on IaaS virtual machines (VMs). Six months ago, we announced the general availability of DR for Azure VMs using Azure Site Recovery (ASR). Since then we have been heavily invested on ensuring that the customer experience of using this DR capability is nothing less than the best. Being a service that is used by thousands of customers, there are two key principles based on which we make decisions on what features and updates to invest in.
Continue to stand as a fully integrated offering.
Customers can enable the DR capability and carry out all related operations. These operations include testing the DR drill or performing the actual failover, all from the Azure portal with minimal clicks. This also translates to ensuring that ASR is updated with support for the newest Azure features as they’re released.
Make continued improvements and democratize DR.
We are constantly working to improve the site recovery service, absorbing the complexities of setting up DR into the service so that as a customer, you need to make
This blog is co-authored by Parikshit Savjani, Senior Program Manager and Rachel Agyemang, Program Manager, Microsoft Azure.
We are excited to announce Public Preview availability of Read Replicas for Azure Database for PostgreSQL.
Azure Database for PostgreSQL now supports continuous, asynchronous replication of data from one Azure Database for PostgreSQL server (the “master”) to up to five Azure Database for PostgreSQL servers (the “read replicas”) in the same region. This allows read-heavy workloads to scale out horizontally and be balanced across replica servers according to users’ preferences. Replica servers are read-only except for writes replicated from data changes on the master. Stopping replication to a replica server causes it to become a standalone server that accepts reads and writes.
Key features associated with this functionality are:
Turn-key addition and deletion of replicas. Support for up to five read replicas in the same region. The ability to stop replication to any replica to make it a stand-alone, read-write server. The ability to monitor replication performance using two metrics, Replica Lag and Max lag across Replicas.
For more information and instructions on how to create and manage read replicas, see the following articles: