Collaborate at cloud speed across the entire DevOps lifecycle to build and be the next big thing. See for yourself how the first-of-its-kind Microsoft Azure Preview portal is bringing together cross-platform tools, technologies, and services in a single integrated workspace to radically speed up the delivery process and make it much simpler to keep applications in good shape—using what you already know and whatever tool set you like most.Try it
Azure Data Catalog is a fully managed service that serves as a system of registration and system of discovery for enterprise data sources. Azure Data Catalog provides capabilities that enable any user – from analysts to data scientists to developers – to register, discover, understand, and consume data sources. Use crowdsourced annotations and metadata to capture the tribal knowledge that exists within your organization, shine light on dark data, and get more value from your enterprise data sources.
Spark is an open source project in the Apache ecosystem that has been gaining in popularity and support for its ability to handle large-scale data analytic applications in memory. This allows Spark to deliver queries up to 100 times faster than traditional big data solutions, along with a common execution model for various tasks like extract-transform-load (ETL) processes, batch queries, interactive queries, real-time streaming, machine learning, and graph processing on data stored in Azure Storage. The Azure cloud helps make Spark deployment easy and cost effective, with no hardware to buy and no software to configure. Plus Spark comes integrated with Microsoft Power BI and other popular third-party business intelligence (BI) tools, as well as open source notebooks. This allows customers to do interactive BI on top of big data.
Live encoding expands on the industry proven live cloud platform and can be combined with dynamic packaging, dynamic encryption, sub-clipping, dynamic manifest manipulation, ad-marker insertion, and seamless live to on-demand capabilities to build comprehensive live and cloud DVR workflows. Common use cases include event-based streaming with dynamic ad-insertion and live streaming with cloud DVR requirements. Live encoding has been used to power some of the largest events on the planet such as Super Bowl 2015 and the 2014 Sochi Winter Olympics.
Privileged Identity Management, a new feature of Azure Active Directory Premium, enables you to discover, restrict and monitor privileged identities and their access to resources but also enforce on-demand, just in time administrative access when needed. This new capability, currently available in public preview, is accessible through the new Azure Portal.
Administrators are able to set rules on any group of Azure Active Directory, based on user attributes (“department”, “country” etc) to dynamically define their membership. These groups can be used to provide access to applications or cloud resources or assign licenses to users. The capability is in preview.
Azure Active Directory now provides Conditional Access policies that lets you create access rules for Azure AD connected application based on user location and group membership. More sensitive apps can be assigned stricter policies, such as requiring Multi-Factor Authentication (MFA) outside of the corporate network while less sensitive apps can have more open policies.
Azure Active Directory allows the assignment of shared application accounts to groups. This is particularly useful for managing access to company owned social media accounts such as Twitter, Facebook or LinkedIn. The real password of these accounts was known only by the administrator while other members of the group have access by using their work credentials. One very important security enhancement of this process, in public preview, is the ability to automatically rollover these passwords. This capability makes shared accounts more secure by automatically creating new strong complex passwords at an interval you define and minimizes the risk of exploitation of company owned social media accounts.
Users of Azure Active Directory can now choose from a list of applications made available by their organization and request access to them through a self-service process that is currently in public preview. This self-service process can either provide access to the chosen application immediately or via a an approval workflow.
Now customers can select Linux clusters when deploying big data workloads to Azure. You can also more easily move existing Apache Hadoop workloads into the cloud, plus access an expanded set of big data components to run in the service. HDInsight, our managed Hadoop-as-a-service offering, brings the power of this open source, big data ecosystem to Azure in an integrated, managed, and supported way. By offering Linux clusters, we’re enhancing the opportunity for customers to gain insights from the massive amounts of data being created in the cloud. HDInsight Linux clusters are updated, monitored, and operated by Azure, enabling customers to focus on queries and data, not machine management or Hadoop patching. Built on Ubuntu and Hortonworks Data Platform (HDP) 2.2, HDInsight on Linux clusters can be deployed today by registering for the public preview.
Maximize mobile apps usage and revenue with Azure Mobile Engagement – a SaaS-delivered, data-driven user engagement platform that enables real-time fine-grain user segmentation, app user analytics, and contextually-aware smart push notifications and in-app messaging across all connected devices. It closes the marketing loop for app developers and marketers allowing them to get directly in touch with all of their customers in a personal, contextually-aware and non-intrusive way, and at the right time.
This preview introduces the next-generation of the SQL Database service. The capabilities in this preview bring near-complete SQL Server engine compatibility and more Premium performance to the SQL Database service. Key improvements include; support for larger databases with online indexing and parallel queries, improved T-SQL support with common language runtime and XML index, and support for in-memory columnstore index. The preview enrollment experience occurs in the new Azure portal.
Application Insights is an all-in-one telemetry solution which can help you detect issues, solve problems and continuously improve your web applications. It is designed to be an integral part of your development process and provides real time, 360° views of your apps across availability, performance and usage. You can take advantage of the powerful data exploration tools for swift, proactive & reactive issue handling. You can also understand how your users are using your application and make informed decisions to focus your investment where it matters most.
Azure Files allows Virtual Machines (VMs) in an Azure Data Center to mount a shared file system using the SMB protocol. These VMs will then be able to access the file system using standard Windows file APIs (CreateFile, ReadFile, WriteFile, etc.). Many VMs (or Platform as a Service (PaaS) roles) can attach to these file systems concurrently, allowing you to share persistent data easily between various roles and instances. In addition to accessing your files through the Windows file APIs, you can access your data using the Files REST API, which is similar to the familiar Blob interface.
Quickly and easily create customized billing alerts that help you monitor and manage billing activity for your Azure accounts.
Dynamic Data Masking for Azure SQL Database to help further protect unauthorized access to sensitive data. Dynamic Data Masking is a policy-based security feature that helps limit the exposure of data in a database by returning masked data to non-privileged users who run queries over designated database fields, like credit card numbers for example. The actual data on the database is not changed and the data masking is done on-the-fly as queries are processed.
"The actual data on the database is not changed and the data masking is done on-the-fly as queries are processed. Dynamic Data Masking is available on the V12 version of SQL Database, learn more about upgrading."
Mobile Apps in Azure App Service offer highly scalable, globally available mobile application development platform for Enterprise Developers and System Integrators that brings a rich set of capabilities to mobile apps. Azure App Service makes it easy to quickly build, deploy and scale an enterprise-grade mobile app backend in seconds. Focus on your application code, and let Azure take care of the infrastructure to scale and securely run it for you. Azure App Service streamlines development, deployment, and management of applications in a managed cloud environment.
API Apps in Azure App Service provide the ability to discover, host, manage and monetize API’s and SaaS connectors on a modern, feature rich, scalable, and globally available cloud platform. Azure App Service is a fully managed platform as a service (PaaS) offering for Enterprise Developers and System Integrators that brings a rich set of capabilities to web app development. Azure App Service streamlines development, deployment, and management of applications in a managed cloud environment.
Logic apps enable you to develop and deliver powerful integration solutions with ease by automating business processes and integrating with your SaaS and enterprise applications. They can be used to connect to on-premises data and visually create business processes and workflows.
Azure DNS allows you to host your DNS domains alongside your Azure apps. By hosting your domains in Azure, you can manage your DNS records using your existing Azure subscription. Microsoft’s global network of name servers has the reach, scale and redundancy needed to ensure ultra-fast DNS responses and ultra-high availability for your domains. With Azure DNS, you can be sure your DNS will always be fast and available.
Azure SQL Data Warehouse is an elastic data warehouse-as-a-service with enterprise-grade features based on SQL Server’s massively parallel processing architecture. It provides customers the ability to scale data, either on prem, or in our cloud. It’s the first cloud data warehouse that can dynamically grow or shrink enabling customers to only pay for the query performance they need when they need it, to petabyte-scale. SQL Data Warehouse enables customer to use their existing T-SQL skills to integrate queries across structured and unstructured data. SQL Data Warehouse integrates with our existing data platform tools including Azure HDInsight, Azure Machine Learning, Azure Data Factory and Power BI for a complete data warehousing and business intelligence solution in the cloud. With SQL Data Warehouse, customers have a choice about where to keep their data, based on performance, security and scale requirements, enabled by SQL Data Warehouse either in the cloud or on-premises.