Microsoft Azure platform updates for April-May 2015. Special // Build Edition
Special Build Edition!
The other day, our flagship conference was held // Build , and I decided to delay the monthly digest a bit in order to make a special edition - based on the conference. As usual, interesting things were announced at // Build - from machine learning tools that you can use (and on which How-old has recently become popular), to repositories that support unlimited data and time.
In this news digest, the Microsoft Azure cloud platform is a special block for Build, followed by a general digest of announcements for developers, IT professionals and all professionals interested in cloud technologies and the Azure platform. Previous editions of the digest can always be found at the following link .
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Machine learning is a hot topic lately. An early version of Project Oxford , announced at // Build and developed in the depths of Microsoft Research, Bing, and other teams, allows developers who are not subject matter experts to develop applications for, for example, face recognition or language recognition. The developers say that it’s enough just to take the API and not think about the aspects of machine learning - the internal services will do everything for you. The service is currently in an early free beta for limited use.
Currently Oxford includes the following features:
SQL Database - “projection” of SQL Server to the cloud as a service. The essence of the SQL Database is that instead of deploying a fault-tolerant infrastructure from SQL Server on virtual machines, you get it ready in the form of a box - just select the operating mode on which the limits and limitations of the solution depend (present in connection with that SQL Database is a service used by a large number of people, and if there are no limits, then reliability can potentially decrease). Another feature of the SQL Database is the lack of some features and capabilities that are present in a regular SQL Server. And here we are actively developing:
Transparent Data Encryption in preview. TDE is a familiar SQL Server technology used for encryption-at-rest.
Full-Text Search in preview and free of charge - fast, flexible search integrated into the platform
There are few updates, however, user requests that have appeared since the creation of the SQL Database were closed.
In the Microsoft big data and analytics portfolio, a new tool has appeared - Azure Data Lake , a repository for big data that can be used to store any type of data and a schema - without fixed limits on the size of a file or account. Data Lake is an HDFS compliant Hadoop File System that is integrated with Azure HDInsight and integrates in the future with Revolution-R Enterprise, Hortonworks, Cloudera, Spark, Storm, Flume, Sqoop, Kafka, and many others. Data Lake is not yet available, but you can register and get information when a public preview appears.
Another tool for data is the Microsoft Azure SQL Data Warehouse. Scalable storage-as-a-service based on the SQL Server Massively Parallel Processing (DW) architecture. Of the possibilities, it can work both locally and in the cloud, and is the first native-cloud storage solution that can dynamically scale calculations with pay-per-use and T-SQL support for structured and unstructured data.
Integrates with Azure HDInsight, Azure Machine Learning, Azure Data Factory and Power BI. With all this, we can conclude that SQL Data Warehouse is a complete solution for storing data and BI in the cloud. The public is not yet available, but you can register to receive announcements.
From data to computing, and here was announced a preview program for developers from Azure Service Fabric - a platform for developers with which you can build cloud services with a high degree of scalability and process flexibility. Service Fabric supports the creation of both types of microservices (Stateless / Stateful) - an architectural approach in which complex applications are assembled from small, separately versioned services. Service Fabric is also integrated into VS using a special set of tools. Learn more about tools and SDK .
We continue the history of microservices with the announcement of the premium mode of the Azure App Service - a service running as a container in which you can place microservices as web applications, mobile applications, logical applications (a-la IFTTT) and applications that help expose the API for use. Premium Mode App Service provides a large set of functions - from a larger than usual set of resources (8 cores and 14 GB of memory) to VPN, etc.
Azure Resource Manager has become available for VMs, storage and network functions in a public preview. ARM provides the ability to develop templates for deploying complex applications into resource groups — a new concept of pooling resources in Azure. The resource group combines all the resources in one container that can be controlled using the role model and tag resources that require a greater degree of control. Inside ARM announcements, we also announced a partnership with Cloud Foundry, Mesosphere, Juju, Apprenda, Jelastic, Scalr, MySQL, Chef, ElasticSearch, Zookeeper, MongoDB, and PostGreSQL.
GA : Stream Analytics is a service that allows you to specify an input source from which an SA will collect data in near real time, process it using an SQL-like script and transfer it to the storage or queue you specified.
GA : DocumentDB is a managed NoSQL document database service. Used in various projects, including Microsoft - for example, MSN.
GA : Premium Storage - Azure Premium Storage is based on SSDs. You can combine up to 32 TB on a virtual machine, which will give about 50.000 IOPS with minimal latency ..
GA : Azure App Service is a cloud-based application service that helps you quickly and easily create powerful enterprise applications based on Internet and mobile technologies, streams and APIs.
GA : Azure Media Services Player is a solution that allows you to use Azure Media Services resources to distribute content to different platforms and formats using player integration.
GA : New blob type in Azure Storage - a new blob type, Append Blob, optimized for situations in which you need to quickly add content to the end of the file. It works exactly like this - new operations add content to the end of the blob. Convenient for logging, for example.
GA : Azure Toolkit Support for Eclipse on Mac and Linux !
Release: Azure Architecture Guide
Release: Free Azure Machine Learning Book
Release: New page about Open Source on Azure
Release : Row-level security in Azure SQL Database
The other day, our flagship conference was held // Build , and I decided to delay the monthly digest a bit in order to make a special edition - based on the conference. As usual, interesting things were announced at // Build - from machine learning tools that you can use (and on which How-old has recently become popular), to repositories that support unlimited data and time.
In this news digest, the Microsoft Azure cloud platform is a special block for Build, followed by a general digest of announcements for developers, IT professionals and all professionals interested in cloud technologies and the Azure platform. Previous editions of the digest can always be found at the following link .
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Build
Project Oxford
Machine learning is a hot topic lately. An early version of Project Oxford , announced at // Build and developed in the depths of Microsoft Research, Bing, and other teams, allows developers who are not subject matter experts to develop applications for, for example, face recognition or language recognition. The developers say that it’s enough just to take the API and not think about the aspects of machine learning - the internal services will do everything for you. The service is currently in an early free beta for limited use.
Currently Oxford includes the following features:
- Face Recognition. The same How-old service that has become popular in recent days.
- Speech processing.
- Visual aids.
- Clever Language Understanding Intelligent Service.
SQL Database Update
SQL Database - “projection” of SQL Server to the cloud as a service. The essence of the SQL Database is that instead of deploying a fault-tolerant infrastructure from SQL Server on virtual machines, you get it ready in the form of a box - just select the operating mode on which the limits and limitations of the solution depend (present in connection with that SQL Database is a service used by a large number of people, and if there are no limits, then reliability can potentially decrease). Another feature of the SQL Database is the lack of some features and capabilities that are present in a regular SQL Server. And here we are actively developing:
Transparent Data Encryption in preview. TDE is a familiar SQL Server technology used for encryption-at-rest.
Full-Text Search in preview and free of charge - fast, flexible search integrated into the platform
There are few updates, however, user requests that have appeared since the creation of the SQL Database were closed.
Azure data lake
In the Microsoft big data and analytics portfolio, a new tool has appeared - Azure Data Lake , a repository for big data that can be used to store any type of data and a schema - without fixed limits on the size of a file or account. Data Lake is an HDFS compliant Hadoop File System that is integrated with Azure HDInsight and integrates in the future with Revolution-R Enterprise, Hortonworks, Cloudera, Spark, Storm, Flume, Sqoop, Kafka, and many others. Data Lake is not yet available, but you can register and get information when a public preview appears.
Azure SQL Data Warehouse
Another tool for data is the Microsoft Azure SQL Data Warehouse. Scalable storage-as-a-service based on the SQL Server Massively Parallel Processing (DW) architecture. Of the possibilities, it can work both locally and in the cloud, and is the first native-cloud storage solution that can dynamically scale calculations with pay-per-use and T-SQL support for structured and unstructured data.
Integrates with Azure HDInsight, Azure Machine Learning, Azure Data Factory and Power BI. With all this, we can conclude that SQL Data Warehouse is a complete solution for storing data and BI in the cloud. The public is not yet available, but you can register to receive announcements.
Azure Service Fabric
From data to computing, and here was announced a preview program for developers from Azure Service Fabric - a platform for developers with which you can build cloud services with a high degree of scalability and process flexibility. Service Fabric supports the creation of both types of microservices (Stateless / Stateful) - an architectural approach in which complex applications are assembled from small, separately versioned services. Service Fabric is also integrated into VS using a special set of tools. Learn more about tools and SDK .
Azure App Service Premium
We continue the history of microservices with the announcement of the premium mode of the Azure App Service - a service running as a container in which you can place microservices as web applications, mobile applications, logical applications (a-la IFTTT) and applications that help expose the API for use. Premium Mode App Service provides a large set of functions - from a larger than usual set of resources (8 cores and 14 GB of memory) to VPN, etc.
Azure Resource Manager for VM, Storage, Networking
Azure Resource Manager has become available for VMs, storage and network functions in a public preview. ARM provides the ability to develop templates for deploying complex applications into resource groups — a new concept of pooling resources in Azure. The resource group combines all the resources in one container that can be controlled using the role model and tag resources that require a greater degree of control. Inside ARM announcements, we also announced a partnership with Cloud Foundry, Mesosphere, Juju, Apprenda, Jelastic, Scalr, MySQL, Chef, ElasticSearch, Zookeeper, MongoDB, and PostGreSQL.
GA and thumbs
GA : Stream Analytics is a service that allows you to specify an input source from which an SA will collect data in near real time, process it using an SQL-like script and transfer it to the storage or queue you specified.
GA : DocumentDB is a managed NoSQL document database service. Used in various projects, including Microsoft - for example, MSN.
GA : Premium Storage - Azure Premium Storage is based on SSDs. You can combine up to 32 TB on a virtual machine, which will give about 50.000 IOPS with minimal latency ..
GA : Azure App Service is a cloud-based application service that helps you quickly and easily create powerful enterprise applications based on Internet and mobile technologies, streams and APIs.
GA : Azure Media Services Player is a solution that allows you to use Azure Media Services resources to distribute content to different platforms and formats using player integration.
GA : New blob type in Azure Storage - a new blob type, Append Blob, optimized for situations in which you need to quickly add content to the end of the file. It works exactly like this - new operations add content to the end of the blob. Convenient for logging, for example.
GA : Azure Toolkit Support for Eclipse on Mac and Linux !
Release: Azure Architecture Guide
Release: Free Azure Machine Learning Book
Release: New page about Open Source on Azure
Release : Row-level security in Azure SQL Database
Source: https://habr.com/ru/post/257173/
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