15

Nov

Azure Toolkit for IntelliJ – Spark Interactive Console
Azure Toolkit for IntelliJ – Spark Interactive Console

We are pleased to reveal the release of Spark Interactive Console in Azure Toolkit for IntelliJ. This new component facilitates Spark job authoring, and enables you to run code interactively in a shell-like environment within IntelliJ.

The Spark console includes Spark Local Console and Spark Livy Interactive Session. When you run the Spark console, instances of SparkSession and SparkContext are automatically instantiated like in Spark shell. You can use ‘spark’ to access the SparkSession and use ‘sc’ to access the SparkContext. The Spark local console allows you to run your code interactively and validate your code logic locally. You can also check your programming variables and perform other scripting operations locally before submitting to the cluster. The Spark Livy interactive session establishes an interactive communication channel with your cluster so you can check on file schemas, preview data, and run ad-hoc queries while you are programming your Spark job. You can also easily switch the Livy interactive session against different Spark clusters.

The Spark console has a Language Service built-in for Scala programming. You can leverage the language service features, such as IntelliSense and autocomplete, to look up a Spark object (i.e., Spark context and Spark session) properties, query hive

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15

Nov

Dataset size and count now available in Power BI Premium Capacity Metrics App

https://powerbi.microsoft.com/en-us/blog/dataset-size-and-count-now-available-in-power-bi-premium-capacity-metrics-app/Source: https://powerbi.microsoft.com/en-us/blog/dataset-size-and-count-now-available-in-power-bi-premium-capacity-metrics-app/           Dataset size and dataset count in memory are now available in the app

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15

Nov

Three surprising IoT trends in smart buildings

As IoT and artificial intelligence become more advanced, smart buildings are also being utilized to drive down energy usage and maintenance costs. They’re providing safer, more comfortable environments while preventing equipment breakdowns and disruptions to occupants. They’re even increasing productivity by adapting to how people live and work.

There’s a growing demand for smart buildings which offer multiple benefits for building owners, managers, and tenants. Some of the trends, scenarios, and payoffs just might surprise you. Attend our upcoming IoT in Action Smart Building webinar to learn more.

Benefits beyond infrastructure and operations

What most people think of when it comes to smart buildings and IoT are the basics around security and infrastructure. This includes egress, surveillance, elevators, parking, as well as building operations like power, HVAC, and water. These are key focus areas that are driving down costs and increasing sustainability, while keeping people safer and more comfortable.

Smart spaces are going beyond meeting these needs. A second less obvious area where IoT is driving change is productivity i.e., how a space can help people get more done in less time. As IoT gets more intelligent, smart spaces can sense the people in them and how they work,

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15

Nov

Introducing the Azure Blockchain Development Kit
Introducing the Azure Blockchain Development Kit

“Developers! Developers! Developers!” That phrase is synonymous with Microsoft’s history of democratizing complex technologies and empowering anyone with an idea to build software.

Over four decades, we’ve lowered barriers to development with developer tooling, enterprise integration, DevOps, PaaS, and SaaS. Today, serverless offerings from Functions and Logic Apps to Azure DevOps and IoT Central remove friction for development in the cloud.

This morning, we’re excited to announce the initial release of the Azure Blockchain Development Kit which is built on Microsoft’s serverless technologies and seamlessly integrates blockchain with the best of Microsoft and third-party SaaS.

This kit extends the capabilities of our blockchain developer templates and Azure Blockchain Workbench, which incorporates Azure services for key management, off-chain identity and data, monitoring, and messaging APIs into a reference architecture that can be used to rapidly build blockchain-based applications.

These tools have become the first step for many organizations on their journey to re-invent the way they do business. Apps have been built for everything from democratizing supply chain financing in Nigeria to securing the food supply in the UK, but as patterns emerged across use cases, our teams identified new ways for Microsoft to help developers go farther, faster.

This initial

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15

Nov

Five lessons for building your roadmap to a secure hybrid cloud future

This blog post is a part of our security series for National Cybersecurity Awareness Month where we discuss how federal CIOs can best prepare for a cloud environment that works securely with your on-premises datacenters.

The need for federal agencies to get their hybrid cloud roadmaps in place has reached a tipping point over the past year, especially as pressures mount to modernize the government’s vast portfolio of aging legacy IT systems and make smarter use of available IT funding.

Agency IT leaders however, face a deeper challenge. Deciding which applications to move to the cloud and which should be rebuilt or replaced to function securely in a hybrid environment. They must do so while planning for a rapidly-changing cybersecurity landscape.

That’s why rationalizing and rightsizing your applications deserves careful attention. This is also why aligning with the right partners who can support your applications, whether in the cloud or on-premises, can be the difference between successful IT modernization versus just lifting-and-shifting to the cloud.

That’s one reason a growing number of agencies are choosing the flexibility and built-in security features of cloud platforms such as Microsoft Azure Government. Azure Government gives leaders a flexible way to test out their

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13

Nov

https://azure.microsoft.com/blog/getting-started-with-azure-cognitive-services-in-containers/Building solutions with machine learning often requires a data scientist. Azure Cognitive Services enable organizations to take advantage of AI with developers, without requiring a data scientist. We do this by taking the machine learning models and the pipelines and READ MORE

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13

Nov

Get started in minutes: Build your own enterprise grade virtual assistant

Whether in a vehicle looking to find the nearest gas station, or on a factory floor needing to stop the production line, it is easy to imagine ways in which conversation-based interactions can enhance experiences and increase productivity. We’re evolving from a world where humans have had to learn and adapt to computers to one where computers are learning how to understand and interact with humans in a more natural way.

Azure Bot Service helps developers build, connect, deploy, and manage intelligent bots to interact naturally with users on websites, apps, Cortana, Microsoft Teams, Skype, Slack, Facebook Messenger, and more. With over 360,000+ registered Azure Bot Service developers, we are constantly improving our tools and framework to make them more productive. Today, we’re announcing the preview of an open source bot solution accelerator for virtual assistants. This solution accelerator simplifies the creation of branded virtual assistants, enabling developers to get started in minutes. Additionally, the Bot Framework software development kit and Tools version 4.1 is generally available, enabling developers to be more productive with bot development. Finally, Microsoft has signed an agreement to acquire XOXCO, a software product design studio most known for its conversational AI and bot development capabilities.

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13

Nov

Microsoft and Intel donate Azure Hardware, AI Services to Advance Intelligent Edge Research at Carnegie Mellon University

Edge computing is one of the greatest trends that is not only transforming the cloud market, but creating new opportunities for business and society. At its core, edge computing is about harnessing compute on a device, closest to where insights need to be realized – on a connected car, a piece of machinery, or a remote oil field, for example – so these insights come without delay and with a high-degree of accuracy. This is known as the “intelligent edge” because these devices are constantly learning, often aided by AI and Machine Learning algorithms powered by the intelligent cloud. At Microsoft we see amazing new applications of the intelligent edge and intelligent cloud every day – and yet this opportunity is so expansive – the surface has barely been scratched.

To further advance inquiry and discovery at the edge, today we are announcing Microsoft is donating cloud hardware and services to Carnegie Mellon University’s Living Edge Laboratory. Carnegie Mellon University is recognized as one of the leading global research institutions. Earlier this year, the university announced a $27.5 million semiconductor research initiative to connect edge devices to the cloud. Today’s announcement builds on existing commitments to discovery in the field

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13

Nov

Bringing AI to the edge
Bringing AI to the edge

We are seeing a clear trend towards a future powered by the intelligent cloud and intelligent edge. The intelligent cloud is ubiquitous computing at massive scale, enabled by the public cloud and powered by AI, for every type of application one can envision. The intelligent edge is a continually expanding set of connected systems and devices that gather and analyze data—close to end users and the data that is generated. Together, they give customers the ability to create a new class of distributed, connected applications that enable breakthrough business outcomes.

To accelerate this trend, today we are announcing the preview of Azure Cognitive Services containers, making it possible to build intelligent applications that span the cloud and the edge. Azure Cognitive Services allow developers to easily add cognitive features—such as object detection, vision recognition, and language understanding—into their applications without having direct AI or data science skills or knowledge. Over 1.2 million developers have discovered and tried Azure Cognitive Services to build and run intelligent applications. Containerization is an approach to software distribution in which an application or service is packaged so that it can be deployed in a container host with little or no modification.

With container support, customers

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13

Nov

Announcing new AI Capabilities for Power BI to make AI Accessible for Everyone

https://powerbi.microsoft.com/en-us/blog/power-bi-announces-new-ai-capabilities/Source: https://powerbi.microsoft.com/en-us/blog/power-bi-announces-new-ai-capabilities/           At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Power BI makes it possible for every employee in an organization to make better decisions READ MORE

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