24

Sep

SQL Server 2019 preview combines SQL Server and Apache Spark to create a unified data platform

Today at Ignite, Microsoft announced the preview of SQL Server 2019. For 25 years, SQL Server has helped enterprises manage all facets of their relational data. In recent releases, SQL Server has gone beyond querying relational data by unifying graph and relational data and bringing machine learning to where the data is with R and Python model training and scoring. As the volume and variety of data increases, customers need to easily integrate and analyze data across all types of data.

Now, for the first time ever, SQL Server 2019 creates a unified data platform with Apache SparkTM and Hadoop Distributed File System (HDFS) packaged together with SQL Server as a single, integrated solution. Through the ability to create big data clusters, SQL Server 2019 delivers an incredible expansion of database management capabilities, further redefining SQL Server beyond a traditional relational database. And as with every release, SQL Server 2019 continues to push the boundaries of security, availability, and performance for every workload with Intelligent Query Processing, data compliance tools and support for persistent memory. With SQL Server 2019, you can take on any data project, from traditional SQL Server workloads like OLTP, Data Warehousing and BI, to AI and

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24

Sep

SQL Server 2019 preview combines SQL Server and Apache Spark to create a unified data platform

Today at Ignite, Microsoft announced the preview of SQL Server 2019. For 25 years, SQL Server has helped enterprises manage all facets of their relational data. In recent releases, SQL Server has gone beyond querying relational data by unifying graph and relational data and bringing machine learning to where the data is with R and Python model training and scoring. As the volume and variety of data increases, customers need to easily integrate and analyze data across all types of data.

Now, for the first time ever, SQL Server 2019 creates a unified data platform with Apache SparkTM and Hadoop Distributed File System (HDFS) packaged together with SQL Server as a single, integrated solution. Through the ability to create big data clusters, SQL Server 2019 delivers an incredible expansion of database management capabilities, further redefining SQL Server beyond a traditional relational database. And as with every release, SQL Server 2019 continues to push the boundaries of security, availability, and performance for every workload with Intelligent Query Processing, data compliance tools and support for persistent memory. With SQL Server 2019, you can take on any data project, from traditional SQL Server workloads like OLTP, Data Warehousing and BI, to AI and

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24

Sep

Introducing Azure Premium Blob Storage (limited public preview)

Today we are excited to announce the limited public preview of Azure Premium Blob Storage, which introduces a new performance tier in Azure Blob Storage, complimenting the existing Hot, Cool, and Archive tiers. Data in Premium Blob Storage is stored on solid-state drives, which are known for lower latency and higher transactional rates compared to traditional hard drives.

Premium Blob Storage is ideal for workloads that require very fast access times. This includes most scenarios with a human in the loop, such as interactive video editing, static web content, online transactions, and more. It also works well for workloads that perform many relatively small transactions, such as capturing telemetry data, message passing, and data transformation.

Our internal testing shows that both average and 99th percentile server latency is significantly better than our Hot access tier, providing faster and more consistent response times for both read and write across a range of object sizes. Your application should be deployed to compute instances in the same Azure region as the storage account to realize low latency End-to-End.

Premium Blob Storage is available with Locally-Redundant Storage and comes with High-Throughput Block Blobs (HTBB), which provides a) improved write throughput when ingesting larger block

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24

Sep

SAP at Microsoft Ignite: Announcing SAP Data Custodian for Azure

Enterprises are accelerating their digital transformation. We have seen this momentum over the last year as evidenced by customers moving their mission critical SAP applications to Azure. This digital transformation is being powered by the adoption of SAP’s intelligent ERP, S/4HANA, running on the agile cloud infrastructure offered by Azure. For example, Daimler AG is transforming its mission critical procurement system with S/4HANA and chose Azure for its agility, cost savings, and speed of deployment.

Since last November, both Microsoft and SAP have been embarking on our own journeys to run internal SAP S/4HANA systems on Azure. We announced at SAP’s Sapphire NOW that Azure supports the largest scale and broadest choice for SAP HANA including our Azure M-series VMs and BareMetal offerings. In addition to this, we have launched a managed services option for customers with SAP’s HANA Enterprise Cloud with Azure and enabled SAP developer productivity with the general availability of SAP’s Cloud Platform on Azure.

Microsoft and SAP share a common goal of enabling customers to build secure and compliant solutions in this journey. Microsoft is a leader in protecting customer data in the cloud and Microsoft Azure offers a comprehensive set of security and compliance tools

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24

Sep

Announcing Azure user experience improvements at Ignite 2018

Hello Azure friends! Today we are proud to share a new set of improvements to the Azure user experience. The changes included in this blog post are only a subset of the multiple improvements that we are delivering in this release. All these changes have been motivated by the great feedback that you have been giving us so please keep the feedback coming!

Azure user experience refresh

We’ve introduced modern design updates to refresh the look and feel of the portal to increase productivity, improve accessibility, and make better use of your screen real estate.

These updates have been carefully designed to address the feedback that you have been giving us. Some key improvements include:

Improved information density and better use of screen real estate (e.g. vertical menus fit more items). Simplified visuals that reduce clutter, remove unnecessary lines/decorations, and create better flow between different areas in the UI. More intuitive organization of information. Better highlighting of key navigational elements like global search and breadcrumbs. Improved accessibility, updated colors that improve contrast ratios, and subtle updates that align our fonts across the portal. Support for usage over long periods of time (avoid eye-strain).

We’ve made these design updates without changing

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24

Sep

Release models at pace using Microsoft’s AutoML!
Release models at pace using Microsoft’s AutoML!

What is the real problem?

When creating a machine learning model, data scientists across all industry segments face the following challenges: Defining and tuning the hyperparameters, and deciding which algorithm to use.

If a customer plans to create a ML model that will predict the price of a car, the data scientist will need to pick up the right algorithm and hyperparameters. Narrowing down to the best algorithm and hyperparameters is a time-consuming process. This has been a challenge for Microsoft’s customers across all verticals, and Microsoft recently launched an Azure Machine Learning python SDK that has AutoML module. The AutoML module helps with not only defining and tuning hyperparameters but also picking the right algorithm!

What is AutoML?

AutoML helps create high quality model using intelligent automation and optimization. AutoML will figure out the right algorithm and hyper parameters to use. It is a tool that will improve the efficiency of data scientist!

AutoML’ s current capabilities

AutoML currently supports the problem spaces regression and classification. Additional problem spaces such as clustering will be supported in future releases. From a data pre-processing perspective, AutoML allows one hot encoding (converting categorical variable to binary vector) and assign values to

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24

Sep

Azure SignalR Service now generally available
Azure SignalR Service now generally available

Since its introduction five years ago, SignalR has grown to be one of the most popular real-time connection technologies around the world. As applications that use SignalR scale, managing and scaling a SignalR server can become quite a bit of work.

Today, we’re announcing the general availability (GA) of the Azure SignalR Service, a fully managed SignalR service that enables you to focus on building real-time web experiences without worrying about setting up, hosting, scaling, or load balancing your SignalR server. The Azure SignalR Service supports existing libraries for ASP.NET Core, ASP.NET, Java, and JavaScript clients, opening this service to a broad array of developers.

Available today

The SignalR Service has been in public preview since May, and with the general availability of the Azure SignalR Service, customers get:

More regions. SignalR Service is now available in the following regions: US East, US East 2, US Central, US West, US West 2, Canada East, West Europe, North Europe, Southeast Asia, Australia East, and Japan East. And in the coming months we will add more regions. More reliability. The Azure SignalR Service GA offers 99.9% availability with a service level agreement for production use. More capacity. During its preview, the SignalR

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24

Sep

Azure Container Registry: Public preview of Helm Chart Repositories and more

With Azure Container Registry (ACR), you can easily store and manage container images for Azure deployments in a central registry. Today we are excited to add native Helm repository support and validation workflows, with ACR tasks and Docker’s content trust, to provide a more integrated container lifecycle management experience. 

ACR Helm Chart Repositories, available for public preview, provides Kubernetes Helm chart storage as an integrated service for container images and their deployment charts. Docker Content Trust support, now in public preview, provides end-to-end validation of container images, from the time they’re built, to the location they’re deployed. ACR OCI image support is now available in public preview, enabling the next generation of container image formats including BuildKit. ACR tasks, previously announced as ACR build, provides a container execution capability enabling management and modification of the container images in ACR across the lifecycle of the container including build, run, push, and patch. ACR Helm Repositories – Preview

Helm charts have become the common artifacts to define, install, and upgrade Kubernetes-based applications. Today, we are excited to share that Azure is the first public cloud to support ACR Helm Chart Repositories natively with a container registry, providing integrated security where the same

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24

Sep

Building with blockchain on Azure
Building with blockchain on Azure

Today my team is in Orlando, meeting with technical and business decision makers interested in how blockchain can transform the way they do business and wondering just how to get started with Azure.

As Satya mentioned in his keynote this morning, we’ve seen tremendous progress from businesses building with blockchain on Azure. The feedback from early adopters has been consistent on two fronts, blockchain has the potential to extend digital transformation outside their four walls and into the processes they share with suppliers, partners, and customers, but building these new shared applications is a challenge and they’re looking for trusted partners to help. Businesses across industries are increasingly turning to Microsoft and its partners as they begin this journey.

Over the past few years, the power of Azure has enabled companies to break out of data silos. Scalable data platforms like Azure Databricks and analytics tools like PowerBI let companies collaborate on heterogeneous data sets across departments, and extract insights through Machine Learning and AI. Blockchain empowers the next step enabling not only a single authentic data set, but also shared business logic across multiple companies or individuals.

The emergence of blockchain networks

Recently, we’ve seen our customers shift from

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24

Sep

Advanced Threat Protection for Azure Database for MySQL in preview

This blog post was co-authored by Ron Matchoro, Principal Program Manager, Azure SQL Database.

Advanced Threat Protection detects anomalous database activities indicating potential security threats to Azure Database for MySQL.

Advanced Threat Protection provides a new layer of security, which enables customers to detect and respond to potential threats as they occur by providing security alerts on anomalous database activities. Advanced Threat Protection makes it simple to address potential threats to the Azure Database for MySQL server without the need to be a security expert and integrates its alerts with Azure Security Center.

For a full investigation experience, it is recommended to use Server Logs in Azure Database for MySQL , which generates database query and error logs.

The benefits of Advanced Threat Protection include:

Simple configuration of Advanced Threat Protection policy via the Azure portal. Clear email alerts upon detection of suspicious databases activities. Ability to explore the activity log around the time of the event using the Azure portal. No need to modify database procedures or application code. Set up Advanced Threat Protection for your Azure Database for MySQL server in the Azure portal Launch the Azure portal. Navigate to the configuration page of the Azure Database

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