Author : All posts by ilikesql

27

Jun

Expanding Azure Certified for IoT program for the intelligent edge

Three years ago, we launched the Azure Certified for IoT program to help customers ensure their device of choice was tested to work with Azure IoT technology. Since then, our customers and partners have embraced the benefits of bridging the cloud with IoT devices together. With their enthusiasm, we have grown Azure Certified for IoT into one of the largest hardware ecosystems in the industry, with more than 250 partners and 1,000 different devices and starter kits already discoverable in the Azure IoT device catalog.

With the emergence of the intelligent edge and hardware innovations, we are expanding the certification program to support a wide range of hardware from low powered, constrained devices to AI-capable industrial gateways. We introduced Azure IoT Edge as a fully supported edge offering over a year ago, supporting Windows and Linux devices, and have seen huge customer momentum with increasing use of devices at the edge.

“Intelligent computing with real-time analytics at the edge is a key trend going forward – and increasingly a business requirement in the IoT business.”

–  Tomoyasu Suzuki, President of Plat’Home Co., Ltd

Today, we are excited to announce certification of Azure IoT Edge devices in the Azure

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27

Jun

Expanding Azure Certified for IoT program for the intelligent edge

Three years ago, we launched the Azure Certified for IoT program to help customers ensure their device of choice was tested to work with Azure IoT technology. Since then, our customers and partners have embraced the benefits of bridging the cloud with IoT devices together. With their enthusiasm, we have grown Azure Certified for IoT into one of the largest hardware ecosystems in the industry, with more than 250 partners and 1,000 different devices and starter kits already discoverable in the Azure IoT device catalog.

With the emergence of the intelligent edge and hardware innovations, we are expanding the certification program to support a wide range of hardware from low powered, constrained devices to AI-capable industrial gateways. We introduced Azure IoT Edge as a fully supported edge offering over a year ago, supporting Windows and Linux devices, and have seen huge customer momentum with increasing use of devices at the edge.

“Intelligent computing with real-time analytics at the edge is a key trend going forward – and increasingly a business requirement in the IoT business.”

–  Tomoyasu Suzuki, President of Plat’Home Co., Ltd

Today, we are excited to announce certification of Azure IoT Edge devices in the Azure

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27

Jun

Azure simplifies cloud analytics
Azure simplifies cloud analytics

The modern business landscape is ruled by data, with analytics and AI now essential for driving transformation. Customers have benefited tremendously from the performance, flexibility, and low cost offered by Azure for analytics and AI workloads. Today, we are introducing new capabilities in Azure that make it easier to deliver, build, and manage powerful analytics and AI solutions.

First, we are excited to announce the preview of Azure Data Lake Storage Gen2, the only cloud scale data lake designed specifically for mission critical analytics and AI workloads. Azure Data Lake Storage Gen2 combines the scalability and cost benefits of object storage with the reliability and performance offered by the Hadoop file system capabilities.

We are also pleased to announce the general availability of new capabilities in Azure Data Factory. Now, integrating data from multiple sources to validate, enrich, and transform data for insights is dramatically simplified.

This evolution of the Microsoft analytics portfolio makes it easier for customers to integrate disparate data sources, then store and process large amounts of data economically to accelerate their digital transformation.

Taking Azure Data Lake Storage to the next level

Analytics solutions such as Hadoop have been designed assuming they run on scale out

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27

Jun

Azure simplifies cloud analytics
Azure simplifies cloud analytics

The modern business landscape is ruled by data, with analytics and AI now essential for driving transformation. Customers have benefited tremendously from the performance, flexibility, and low cost offered by Azure for analytics and AI workloads. Today, we are introducing new capabilities in Azure that make it easier to deliver, build, and manage powerful analytics and AI solutions.

First, we are excited to announce the preview of Azure Data Lake Storage Gen2, the only cloud scale data lake designed specifically for mission critical analytics and AI workloads. Azure Data Lake Storage Gen2 combines the scalability and cost benefits of object storage with the reliability and performance offered by the Hadoop file system capabilities.

We are also pleased to announce the general availability of new capabilities in Azure Data Factory. Now, integrating data from multiple sources to validate, enrich, and transform data for insights is dramatically simplified.

This evolution of the Microsoft analytics portfolio makes it easier for customers to integrate disparate data sources, then store and process large amounts of data economically to accelerate their digital transformation.

Taking Azure Data Lake Storage to the next level

Analytics solutions such as Hadoop have been designed assuming they run on scale out

Share

27

Jun

Lift SQL Server Integration Services packages to Azure with Azure Data Factory

Data is vital to every app and experience we build today. With increasing amount of data, organizations do not want to be tied down by increasing infrastructural costs that come with it. Data engineers and developers are realizing the need to start moving their on-premise workloads to the cloud to take advantage of its massive scale and flexibility. Azure Data Factory capabilities are generally available for SQL Server Integration Services (SSIS) customers to easily lift SSIS packages to Azure gaining scalability, high availability, and lower TCO, while ADF manages resources for them.

Using code-free ADF UI/app, data engineers and developers can now provision and monitor Azure-SSIS Integration Runtime (IR) which are dedicated ADF servers for SSIS package executions. This capability now comes with amazing new features:

Azure Resource Manager (ARM) Virtual Network (VNet) to access data on premises. Ability to host catalog of SSIS projects (SSISDB) in Azure SQL Managed Instance or Azure SQL Database with VNet service endpoint. Azure Hybrid Benefit (AHB) to leverage existing on-premises SQL Server licenses to lower costs. Enterprise Edition to use advanced/premium connectors and transformations. Custom Setup to install custom/third party components on Azure-SSIS IR, and more. Ability to trigger and schedule SSIS

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27

Jun

Lift SQL Server Integration Services packages to Azure with Azure Data Factory

Data is vital to every app and experience we build today. With increasing amount of data, organizations do not want to be tied down by increasing infrastructural costs that come with it. Data engineers and developers are realizing the need to start moving their on-premise workloads to the cloud to take advantage of its massive scale and flexibility. Azure Data Factory capabilities are generally available for SQL Server Integration Services (SSIS) customers to easily lift SSIS packages to Azure gaining scalability, high availability, and lower TCO, while ADF manages resources for them.

Using code-free ADF UI/app, data engineers and developers can now provision and monitor Azure-SSIS Integration Runtime (IR) which are dedicated ADF servers for SSIS package executions. This capability now comes with amazing new features:

Azure Resource Manager (ARM) Virtual Network (VNet) to access data on premises. Ability to host catalog of SSIS projects (SSISDB) in Azure SQL Managed Instance or Azure SQL Database with VNet service endpoint. Azure Hybrid Benefit (AHB) to leverage existing on-premises SQL Server licenses to lower costs. Enterprise Edition to use advanced/premium connectors and transformations. Custom Setup to install custom/third party components on Azure-SSIS IR, and more. Ability to trigger and schedule SSIS

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27

Jun

Azure Data Factory new capabilities are now generally available

Microsoft is excited to announce the General Availability of new Azure Data Factory (ADF V2) features that will make data integration in the cloud easier than ever before. With a new browser-based user interface, you can accelerate your time to production by building and scheduling your data pipelines using drag and drop. Manage and monitor the health of your data integration projects at scale, wherever your data lives, in cloud or on-premises, with enterprise-grade security. ADF comes with support for over 70 data source connectors and enables you to easily dispatch data transformation jobs at scale to transform raw data into processed data that is ready for consumption by business analysts using their favorite BI tools or custom applications.

For existing SQL Server Integration Services (SSIS) users, ADF now allows you to easily lift and shift your SSIS packages into the cloud and run SSIS as a service with minimal changes required to your existing packages. ADF will now manage your SSIS resources for you so you can increase productivity and lower total cost of ownership. Meet your security and compliance needs while taking advantage of extensive capabilities and paying only for what you use.

All of these new Azure

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27

Jun

Azure Data Factory new capabilities are now generally available

Microsoft is excited to announce the General Availability of new Azure Data Factory (ADF V2) features that will make data integration in the cloud easier than ever before. With a new browser-based user interface, you can accelerate your time to production by building and scheduling your data pipelines using drag and drop. Manage and monitor the health of your data integration projects at scale, wherever your data lives, in cloud or on-premises, with enterprise-grade security. ADF comes with support for over 70 data source connectors and enables you to easily dispatch data transformation jobs at scale to transform raw data into processed data that is ready for consumption by business analysts using their favorite BI tools or custom applications.

For existing SQL Server Integration Services (SSIS) users, ADF now allows you to easily lift and shift your SSIS packages into the cloud and run SSIS as a service with minimal changes required to your existing packages. ADF will now manage your SSIS resources for you so you can increase productivity and lower total cost of ownership. Meet your security and compliance needs while taking advantage of extensive capabilities and paying only for what you use.

All of these new Azure

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26

Jun

Optimizing Replication Agent profile parameters for better performance

https://blogs.msdn.microsoft.com/sql_server_team/optimizing-replication-agent-profile-parameters-for-better-performance/Source: https://blogs.msdn.microsoft.com/sql_server_team/optimizing-replication-agent-profile-parameters-for-better-performance/   When SQL Server replication is used on environments with high traffic OLTP systems, users often need to adjust the agent profile parameters to increase the throughput of the log reader and distribution agents to keep up with READ MORE

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26

Jun

New zone-redundant VPN and ExpressRoute gateways now in public preview

As with all of Azure, we are continuously innovating, upgrading, and refining our virtual network gateways to further increase reliability and availability.

Today, we are sharing the public preview of zone-redundant VPN Gateway and ExpressRoute virtual network gateways. By adding support for Azure Availability Zones, we bring increased resiliency, scalability, and higher availability to virtual network gateways.

You can now deploy VPN and ExpressRoute gateways in Azure Availability Zones. This physically and logically separates them into different Availability Zones protecting your on-premises network connectivity to Azure from zone-level failures. Additionally, we have made fundamental performance improvements including reducing the deployment time to create a virtual network gateway.

To automatically deploy your virtual network gateways across availability zones, you can use zone-redundant virtual network gateways.

Zone-redundant virtual network gateways use specific new gateway SKUs for VPN Gateway and ExpressRoute. To begin using zone-redundant, you can self-enroll your subscription in the public preview. Once you enroll, you will start seeing the new gateway SKUs in all the Azure Availability Zone regions. See the getting started guide for steps to self-enroll, to view information about the new gateway SKUs, and for configuration information.

The new gateway SKUs also support other deployment options

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