09

Dec

Power BI Developer community November update
Power BI Developer community November update

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

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09

Dec

Presentation mode in Power BI Windows App
Presentation mode in Power BI Windows App

https://powerbi.microsoft.com/en-us/blog/presentation-mode-in-power-bi-windows-app/Source: https://powerbi.microsoft.com/en-us/blog/presentation-mode-in-power-bi-windows-app/           Using Presentation mode in the Power BI app running on Surface Hub in your conference room and collaboration areas, better allows you to have meetings which focus on your data. Presenting, collaborating and READ MORE

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07

Dec

Webinar 12/11: Introduction to the Power BI Home & Global Search Experience with Nikhil Gaekwad

https://powerbi.microsoft.com/en-us/blog/webinar-12-11-introduction-to-the-power-bi-home-global-search-experience-with-nikhil-gaekwad/Source: https://powerbi.microsoft.com/en-us/blog/webinar-12-11-introduction-to-the-power-bi-home-global-search-experience-with-nikhil-gaekwad/           Join us for a Tour of an improved Power BI navigation experience makes it easy to monitor and analyze your key business metrics.

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07

Dec

Power BI solution templates moving to open source
Power BI solution templates moving to open source

https://powerbi.microsoft.com/en-us/blog/power-bi-solution-templates-moving-to-open-source/Source: https://powerbi.microsoft.com/en-us/blog/power-bi-solution-templates-moving-to-open-source/           Announcement January 1, we will be moving Power BI solution templates to open source.

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06

Dec

Johnson Controls tackles a $15b building industry problem with Azure Cosmos DB

This blog post was co-authored by Nikisha Reyes-Grange, Senior Product Marketing Manager, Azure Marketing, and Balamurugan Balakreshnan, Cloud Solution Architect, CSU-Data and AI.

Johnson Controls has been a pioneer in building management solutions and services since founder Warren Johnson invented the first electric room thermostat in 1885. Johnson Controls has introduced many innovations to the building industry over the years and are now tackling a problem that costs the building industry billions each year.

Modern buildings include multiple systems that handle everything from building management to HVAC to security. These systems are managed by protocols, proprietary systems, and applications without a common data model, which prevents interoperability, limits scalability, and costs the industry an estimated $15 billion annually.

Solution

To help building operators gather and understand data about their buildings, operations, and occupants, Johnson Controls created Digital Vault to integrate internal and external data sources and present a harmonized view of energy usage, security breaches, fire alarm status, temperature controls, and other building management systems. Digital Vault, powered by Azure Cosmos DB, simplifies object relationship management through a single Application Programming Interface (API) layer for IoT data and events while at rest and in motion. Another API layer leverages Azure

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06

Dec

Get up to speed with Azure HDInsight: The comprehensive guide

Azure HDInsight is an easy, cost-effective, enterprise-grade service for open source analytics. With HDInsight, you get managed clusters for various Apache big data technologies, such as Spark, MapReduce, Kafka, Hive, HBase, Storm and ML Services backed by a 99.9% SLA. In addition, you can take advantage of HDInsight’s rich ISV application ecosystem to tailor the solution for your specific scenario.

HDInsight covers a wide variety of big data technologies, and we have received many requests for a detailed guide. Whether you want to just get started with HDInsight, or become a Big Data expert, this post has you covered with all the latest resources.

Latest content

The HDInsight team has been working hard releasing new features, including the launch of HDInsight 4.0. We make major product announcements on the Azure HDInsight and Big Data blogs. Here is a selection of the most recent updates:

Launch of HDInsight 4.0 at Microsoft Ignite 2018 (Session Video) Azure HDInsight brings next generation Apache Hadoop 3.0 and enterprise security to the cloud Deep dive into Azure HDInsight 4.0 HDInsight Enterprise Security Package now generally available Exciting new capabilities on Azure HDInsight 6-part best practice guide for on premises Hadoop to cloud migration Azure Toolkit

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06

Dec

IoT in Action: 4 innovations that are revolutionizing IoT

The Internet of Things (IoT) is reshaping every industry from manufacturing to medicine, and opportunities to transform business are nearly limitless. And while IoT is a complicated endeavor requiring multiple partners, skillsets, and technologies, new innovations are making projects easier to deploy, more secure, and more intelligent than ever.

Below I’ve called out four innovations that are revolutionizing the IoT industry. To learn more about how to take advantage of these innovations, be sure to register for our upcoming IoT in Action Virtual Bootcamp.

1. Artificial intelligence (AI) and cognitive capabilities

Cognitive services and AI used to come with a high price tag. But times have changed, and these capabilities are becoming increasingly accessible.

IoT Hub and Cognitive Services enable you to tailor IoT solutions with advanced intelligence without a team of data scientists. Not only do AI and Cognitive Services make it easier to infuse IoT solutions with capabilities such as image recognition, speech analytics, and intelligent recommendations, but they also help companies act on the data being gathered and realize the true value of IoT. Scenarios are virtually limitless. Companies like UBER are using visual identity verification to increase platform security, and Spektacom is making cricket better

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06

Dec

Disaster recovery of zone pinned Azure Virtual Machines to another region

Azure Availability Zones are unique fault-isolated physical locations, within an Azure region, with independent power, network, and cooling. Each Availability Zone is comprised of one or more datacenters and houses infrastructure to support highly available, mission critical applications with fault tolerance to datacenter failures. For IaaS applications running on Azure Virtual Machines, you can build high availability into your business continuity strategy by deploying multiple virtual machines (VMs) across multiple zones within a region. In doing so, VMs are physically separated across zones, and a virtual network is created using load balancers at each site. These locations are close enough for high availability replication, so your applications stay running, despite any issues at the physical locations.

On rare occasions, an entire region could become unavailable due to major incidents such as natural disasters. Non-transient, large scale failures may exceed the ability of high availability (HA) features and require full-fledged disaster recovery (DR). Today, we are announcing the support for disaster recovery of virtual machines deployed in Availability Zones to another region using Azure Site Recovery (ASR). You can now replicate and failover zone pinned virtual machines to other regions within a geographic cluster using Azure Site Recovery. This new capability

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06

Dec

Azure Data Lake Storage Gen2 preview – More features, more performance, better availability

Since we announced the limited public preview of Azure Data Lake Storage (ADLS) Gen2 in June, the response has been resounding. Customers participating in the ADLS Gen2 preview have directly benefitted from the scale, performance, security, manageability, and cost-effectiveness inherent in the ADLS Gen2 offering. Today, we are very pleased to announce significant updates to the preview that will allow an even greater experience for customers.

Today’s announcements include additional features that preview customers have been asking for:

Enterprise-class security features integrated into Azure Databricks and Azure HDInsight (available shortly) Azure Storage Explorer support to view and manage data in ADLS Gen2 accounts, including data exploration and access control management Support for connecting external tables in SQL Data Warehouse, including when Storage Firewalls are active on the account Power BI and SQL Data Warehouse supporting the Common Data Model for entities stored in ADLS Gen2 Storage Firewall and Virtual Network rules integration for all analytics services Encryption of data at rest using either Microsoft or customer supplied keys as well as encryption in transit via TLS 1.2 Ability to mount an ADLS Gen2 filesystem into the Databricks File System (DBFS)

Additionally, as of today, the ADLS Gen2 public preview is

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06

Dec

General availability of VNet Service Endpoints for Azure SQL Data Warehouse

This blog post was co-authored by Anitha Adusumilli, Principal Program Manager, Azure Networking.

We’re excited to share the general availability of Virtual Network (VNet) Service Endpoints for Azure SQL Data Warehouse in all Azure regions. Azure SQL Data Warehouse is a fast, flexible, and secure cloud data warehouse tuned for running complex queries fast and across petabytes of data.

VNet Service Endpoints enable you to isolate connectivity to your logical server from a given subnet or set of subnets within your virtual network. The traffic to Azure SQL Data Warehouse from your VNet will always stay within the Azure backbone network. This direct route will be preferred over any specific routes that take Internet traffic through virtual appliances or on-premises. There is no additional billing for virtual network access through service endpoints. Current pricing model for Azure SQL Data Warehouse applies as is.

With this release, we also enabled PolyBase connectivity to Azure Data Lake Storage Gen2 (ADLS) via Azure Blob File System (ABFS) driver. Azure Data Lake Storage Gen2 brings all the qualities that are required for the full lifecycle of analytics data to Azure Storage. It is the result of converging the capabilities of our two existing storage

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