08

Oct

Enabling intelligent cloud and intelligent edge solutions for government

We are going through a technology transformation that is unlocking new mission scenarios for government agencies that were simply not possible before. Smart sensors and connected devices are changing the way agencies approach problems from equipment maintenance to measuring air quality, smart cities to military outposts, while new devices are increasingly cloud connected by default – whether it’s a traffic light or a rescue vehicle.

Simultaneously, hybrid cloud is evolving from being the integration of a datacenter with the public cloud, to becoming units of computing available at even the world’s most remote destinations working in concert with public cloud. Now, more than ever before, government can bring the power of cloud to missions around the globe.

Bring these two technology trends together, with AI running across all systems, and we enter the era of the intelligent cloud and intelligent edge. And while we expect every industry to benefit as these technologies advance, the work of government in particular will be changed by the ability to plan farther, gather information more efficiently, and deliver insight where it is needed most.
The intelligent cloud is ubiquitous computing enabled by public cloud and powered with AI. In this way, we refer to

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08

Oct

Azure.Source – Volume 52
Azure.Source – Volume 52

Now in preview

Advanced Threat Protection for Azure Storage now in public preview – Azure Storage Advanced Threat Protection detects anomalies in account activity and notifies you of potentially harmful attempts to access your account. This layer of protection allows you to address threats without the need to be a security expert or manage security monitoring systems. Threats are surfaced by defining security alerts that trigger when anomalies in activity occur. These alerts integrate with Azure Security Center which include details of suspicious activity and recommendations on how to investigate and remediate threats.

Cloud Scale Analytics meets Office 365 data – empowered by Azure Data Factory – Azure Data Factory enables you to bring the rich organizational data in your Office 365 tenant into Azure in a scalable way and build analytics applications and extract insights based on these valuable data assets. Microsoft Graph contains rich data about workers and their workplace, including information about how people work and how they communicate, collaborate, and manage their time. Microsoft Graph data connect brings this data to Microsoft Azure, which gives you access to the best development and hosting tools to work with this data.

Azure Friday | Get cloud-scale analytics

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08

Oct

10/11 Webinar: How to use Power Query and M to create calendar tables with Tristan Malherbe

https://powerbi.microsoft.com/en-us/blog/10-11-webinar-how-to-use-power-query-and-m-to-create-calendar-tables-with-tristan-malherbe/Source: https://powerbi.microsoft.com/en-us/blog/10-11-webinar-how-to-use-power-query-and-m-to-create-calendar-tables-with-tristan-malherbe/           Calendar tables are an absolute requirement for time-intelligence calculations in Power BI. In this week’s webinar Power BI MVP Tristan Malherbe will deliver a webinar on how to build a proper calendar table READ MORE

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08

Oct

Unleash the value of Industrial IoT with Kepware and Azure IoT Edge

Kepware’s KEPServerEX is an industry leading solution for connectivity of industrial and manufacturing equipment, and a key component of many company’s Industrial IoT strategies. The Azure IoT platform is a great complement to this connectivity, allowing customers to take advantage of cloud scale, industrial-strength IoT, analytics, and AI technologies. Recognizing the value of this combination, Kepware had previously released a technical note showing how to connect to Azure IoT Hub from KEPServerEX and send the data that it gathered from its connected machinery directly to the cloud via the popular MQTT protocol.

With the release of Azure IoT Edge, customers have the option of bringing some of the custom processing and Azure services from the cloud down to the Edge. This enables scenarios like filtering and aggregating data on the Edge before sending to Azure or executing machine learning models to predict failures or performing anomaly detection with very low latency and bandwidth usage.

Kepware through Azure IoT Edge

The natural question at this point is can you do both? Can you leverage the large selection of device connectivity libraries of KEPServerEx, and the power of edge processing from Azure IoT Edge together? The answer, of course, is yes! We

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08

Oct

Snip Insights – Cross-platform open source AI tool for intelligent screen capture

Devices and technologies are moving forward at a rapid pace, though the everyday tools we use remain relatively unchanged. What if we could infuse AI into everyday tools to delight and inspire developers to do more using Microsoft AI platform? With just a little bit of creativity and using Microsoft’s current AI offerings, we can bring AI capabilities closer to customers and create applications that will inspire every organization, every developer, and every person on this planet.

Introducing Snip Insights

An open source cross-platform AI tool for intelligent screen capture. Snip Insights revolutionizes the way users can generate insights from screen captures. The initial prototype of Snip Insights, built for Windows OS and released at Microsoft Build 2018 in May, was created by Microsoft Garage interns based out of Vancouver, BC. Our team at Microsoft AI Lab in collaboration with the Microsoft AI CTO team took Snip Insights to the next level by giving the tool a new intuitive UX, cross-platform availability (MacOS, Linux, and Windows), and free download and usage under MSA license. Snip Insights leverages Microsoft Azure’s Cognitive Services APIs to increase users’ productivity by reducing the number of steps needed to gain intelligent insights.

The Solution

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08

Oct

Re-define analytics with Azure SQL Data Warehouse Gen2 tier now generally available

Microsoft Azure Government regions give unparalleled flexibility for US government agencies and their partners. Today, we announce the general availability of industry-leading performance Azure SQL Data Warehouse Compute Optimized Gen2 tier for government customers in the US Gov Arizona and US Gov Texas regions. Azure SQL Data Warehouse is a fast, flexible, and secure analytics platform offering you a SQL-based view across data. It is elastic, enabling you to provision a cloud data warehouse in minutes and scale to terabytes in minutes.

With Azure Government only US federal, state, local, and tribal governments and their partners have access to this dedicated instance that only screened US citizens operate. Customers can choose from six government-only datacenter regions, including two regions granted an Impact Level 5 Provisional Authorization. Moreover, Azure Government offers the most compliance certifications of any cloud provider.

These new locations bring the product worldwide availability count for Compute Optimized Gen2 tier to 28 regions.

More performance, concurrency, and power

Azure SQL Data Warehouse Gen2 brings the best of Microsoft software and hardware innovations to dramatically improve query performance and concurrency. Our customers now get up to five times better performance on average for query workloads, four times more

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08

Oct

A fast, serverless, big data pipeline powered by a single Azure Function

A single Azure function is all it took to fully implement an end-to-end, real-time, mission critical data pipeline. And it was done with a serverless architecture. Serverless architectures simplify the building, deployment, and management of cloud scale applications. Instead of worrying about data infrastructure like server procurement, configuration, and management a data engineer can focus on the tasks it takes to ensure an end-to-end and highly functioning data pipeline.

This blog describes an Azure function and how it efficiently coordinated a data ingestion pipeline that processed over eight million transactions per day.

Scenario

A large bank wanted to build a solution to detect fraudulent transactions submitted through mobile phone banking applications. The solution requires a big data pipeline approach. High volumes of real-time data are ingested into a cloud service, where a series of data transformation and extraction activities occur. This results in the creation of a feature data set, and the use of advanced analytics. For the bank, the pipeline had to be very fast and scalable, end-to-end evaluation of each transaction had to complete in less than two seconds.

Telemetry from the bank’s multiple application gateways, stream in as embedded events in complex JSON files. The ingestion technology

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08

Oct

Creating a data stream from NIST manufacturing lab data – Part 1

The Industry Experiences team has recently published a solution guide for extracting insights from existing IoT data. The solution consists of the following high-level components.

Ingest data Hot path processing Cold path processing Analytics clients

This is the first of a series of blogs that go through those components in detail. We start with ingesting data into the solution and creating a data stream.

The NIST data

The solution uses the data published by US National Institute of Standards and Technology Smart Manufacturing Systems test bed that exposes the manufacturing lab’s data. We use the data from the lab’s volatile data stream (VDS).

The VDS is implemented using the MTConnect standard. The standard offers a semantic vocabulary for manufacturing equipment. It defines a protocol to communicate with an MTConnect agent and the schema for the data returned.

The agent and its methods

The agent exposes an HTTP endpoint that supports the following API operations:

probe: Returns the list of devices, components, subcomponents and data items. current: Returns a snapshot of the data item’s most recent values or the state of the device at a point in time. sample: Returns Samples, Events and Condition in time series. asset: Most recent state

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07

Oct

Power BI Developer community September update
Power BI Developer community September update

https://powerbi.microsoft.com/en-us/blog/power-bi-developer-community-september-update-2018/Source: https://powerbi.microsoft.com/en-us/blog/power-bi-developer-community-september-update-2018/           This blog post covers the latest updates for Power BI Developers community- Power BI Embedded and Custom Visuals.

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05

Oct

See Power BI Preview Features in action at the Power BI World Tour

https://powerbi.microsoft.com/en-us/blog/see-power-bi-preview-features-in-action-at-the-power-bi-world-tour/Source: https://powerbi.microsoft.com/en-us/blog/see-power-bi-preview-features-in-action-at-the-power-bi-world-tour/           We are proud to announce at the up coming Power BI World Tour we will be showing many of these features live in demos and break out sessions. If you are not familiar READ MORE

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