08

Jan

1/11/2018 Webinar: Integrating R Script and R Script Visuals with Power BI by Ginger Grant

https://powerbi.microsoft.com/en-us/blog/1-11-2018-webinar-integrating-r-script-and-r-script-visual-with-power-bi-by-ginger-grant/Source: https://powerbi.microsoft.com/en-us/blog/1-11-2018-webinar-integrating-r-script-and-r-script-visual-with-power-bi-by-ginger-grant/           Power BI is a great tool for providing in-depth analysis of your data. In this webinar we are going to add R to Power BI to provide not only some R visualizations which READ MORE

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08

Jan

Power BI Desktop January Feature Summary
Power BI Desktop January Feature Summary

https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-january-2018-feature-summary/Source: https://powerbi.microsoft.com/en-us/blog/power-bi-desktop-january-2018-feature-summary/           Happy new year to everyone! We are kicking off the new year with an update to Power BI Desktop focused on incremental improvements to popular features you are already using, including automatic date READ MORE

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08

Jan

Last week in Azure: Securing Azure infrastructure from CPU vulnerability, and more

As we ushered in 2018, our industry was busy responding to an industry-wide, hardware-based security vulnerability related to CPU data cache timing. We updated the Azure infrastructure to address this vulnerability at the hypervisor level. You can get more details about the steps taken to address this vulnerability here: Securing Azure customers from CPU vulnerability.

As announced last month (Azure portal update for classic portal users), today is the official sunset date for the Azure classic portal, manage.windowsazure.com. The Azure portal (portal.azure.com), which launched in December 2015, is now the place to find all of our services and your resources.

Data

Azure Data Lake tools integrates with VSCode Data Lake Explorer and Azure Account – Learn about the Azure Data Lake Tools extension in VS Code, which provides a lightweight, cross-platform, authoring experience for U-SQL scripts.

Asynchronous refresh with the REST API for Azure Analysis Services – Introduces the REST API for Azure Analysis Services, which enables you to perform asynchronous data-refresh operations instead of using long-running HTTP connections from client applications.

Build richer apps with your time series data – Check out the new Time Series Insights (TSI) developer tools, which include an Azure Resource Manager (ARM) template, API

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08

Jan

#Azure #SQLDW, the cost benefits of an on-demand data warehousing

Prices illustrated below are based on East US 2 as December 18th, 2017. For price changes updates, visit Azure Analysis Services, SQL Database, and SQL Data Warehouse pricing pages.

Azure SQL Data Warehouse is Microsoft’s SQL analytics platform, the backbone of your Enterprise Data Warehouse. The service is designed to allow customers to elastically and independently scale, compute and store. It acts as a hub to your data marts and cubes for an optimized and tailored performance of your EDW. Azure SQL DW offers guaranteed 99.9 percent high availability, PB scale, compliance, advanced security, and tight integration to upstream and downstream services so you can build a data warehouse that fits your needs. Azure SQL DW is the only data warehouse service enabling enterprises to gain insights from data everywhere with a global availability in more than 30 regions.

This is the last blog post in our series detailing the benefits of Hub and Spoke data warehouse architecture on Azure. On-premises, a Hub and Spoke architecture was hard and expensive to maintain. In the cloud, the cost of such architecture can be much lower as you can dynamically adjust compute capacity to what you need, when you

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05

Jan

From Insights to Action with the Power Apps custom visual
From Insights to Action with the Power Apps custom visual

https://powerbi.microsoft.com/en-us/blog/from-insights-to-action-with-the-power-apps-custom-visual/Source: https://powerbi.microsoft.com/en-us/blog/from-insights-to-action-with-the-power-apps-custom-visual/           Power BI makes it possible for anyone to explore data and find insights to make better business decisions. But often, the insight itself isn’t the end result – instead, an action needs to READ MORE

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05

Jan

Maximize your VM’s Performance with Accelerated Networking – now generally available for both Windows and Linux

We are happy to announce that Accelerated Networking (AN) is generally available (GA) and widely available for Windows and the latest distributions of Linux providing up to 30Gbps in networking throughput, free of charge! 

AN provides consistent ultra-low network latency via Azure’s in-house programmable hardware and technologies such as SR-IOV. By moving much of Azure’s software-defined networking stack off the CPUs and into FPGA-based SmartNICs, compute cycles are reclaimed by end user applications, putting less load on the VM, decreasing jitter and inconsistency in latency.

With the GA of AN, region limitations have been removed, making the feature widely available around the world. Supported VM series include D/DSv2, D/DSv3, E/ESv3, F/FS, FSv2, and Ms/Mms.

The deployment experience for AN has also been improved since public preview. Many of the latest Linux images available in the Azure Marketplace, including Ubuntu 16.04, Red Hat Enterprise Linux 7.4, CentOS 7.4 (distributed by Rogue Wave Software), and SUSE Linux Enterprise Server 12 SP3, work out of the box with no further setup steps needed. Windows Server 2016 and Windows Server 2012R2 also work out of the box.

All the information needed to deploy a VM with AN can be found here, Windows AN VM

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04

Jan

Using Qubole Data Service on Azure to analyze retail customer feedback

It has been a busy season for many retailers. During this time, retailers are using Azure to analyze various types of data to help accelerate purchasing decisions. The Azure cloud not only gives retailers the compute capacity to handle peak times, but also the data analytic tools to better understand their customers.

Many retailers have a treasure trove of information in the thousands, or millions, of product reviews provided by their customers. Often, it takes time for particular reviews to show their value because customers “vote” for helpful or not helpful reviews over time. Using machine learning, retailers can automate identifying useful reviews in near real-time and leverage that insight quickly to build additional business value.

But how might a retailer without deep big data and machine learning expertise even begin to conduct this type of advanced analytics on such a large quantity of unstructured data? We will be holding a workshop in January to show you how easy that can be through the use of Azure and Qubole’s big data service.

Using these technologies, anyone can quickly spin up a data platform and train a machine learning model utilizing Natural Language Processing (NLP) to identify the most useful reviews.

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04

Jan

Whitepaper: Selecting the right secure hardware for your IoT deployment

How do you go about answering those perplexing questions such as what secure hardware to use? How do I gauge the level of security? How much security do I really need and hence how much premium should I place on secure hardware? We’ve published a new whitepaper to shed light on this subject matter.

In our relentless commitment to securing IoT deployments worldwide, we continue to raise awareness to the true nature of security—that it is a journey and never an endpoint. Challenges emerge, vulnerabilities evolve, and solutions age thereby triggering the need for renewal if you are to maintain a desired level of security.

Securing your deployment as desired comprises planning, architecture, and execution main phases. For IoT, these are further broken down into sub-phases to include design assessment, risk assessment, model assessment, development, and deployment as shown in Figure 1. The decision process at each phase is equally important, the process must take all other phases into consideration for optimal efficacy. This is especially true when choosing the right secure hardware, also known as secure silicon or Hardware Secure Module(HSM), to secure an IoT deployment.
 

Figure 1: The IoT Security Lifecycle

Choosing the

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04

Jan

Congratulations to the Winners of the “Bookmarking Feature” Contest!

https://powerbi.microsoft.com/en-us/blog/congratulations-to-the-winners-of-the-bookmarking-feature-contest/Source: https://powerbi.microsoft.com/en-us/blog/congratulations-to-the-winners-of-the-bookmarking-feature-contest/           You may remember that the “Bookmarking Feature” contest launched a few weeks ago to feature the recently updated bookmark feature in Power BI Desktop. We had so many amazing submissions that showcased your READ MORE

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04

Jan

Asynchronous refresh with the REST API for Azure Analysis Services

Azure Analysis Services unlocks datasets with potentially billions of rows for non-technical business users to perform interactive analysis. Such large datasets can benefit from features such as asynchronous refresh.

We are pleased to introduce the REST API for Azure Analysis Services. Using any programming language that supports REST calls, you can now perform asynchronous data-refresh operations. This includes synchronization of read-only replicas for query scale out. Please see the blog post Introducing query replica scale-out for Azure Analysis Services for more information on query scale out.

Data-refresh operations can take some time depending on various factors, including data volume and level of optimization using partitions. These operations have traditionally been invoked with existing methods such as using TOM (Tabular Object Model), PowerShell cmdlets for Analysis Services, or TMSL (Tabular Model Scripting Language). The traditional methods may require long-running HTTP connections. A lot of work has been done to ensure the stability of these methods, but given the nature of HTTP, it may be more reliable to avoid long-running HTTP connections from client applications.

The REST API for Azure Analysis Services enables data-refresh operations to be carried out asynchronously. It therefore does not require long-running HTTP connections from client applications. Additionally,

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