Getting started with R on Data Science Virtual Machines

Getting started with R on Data Science Virtual Machines

This article is contributed. See the original author and article here.

The Data Science Virtual Machine (DSVM) is a powerful data science development environment where you can perform data exploration and modeling tasks. The environment comes already built and bundled with several popular data analytics and data science tools that make it easy to get started without spending 20 min to 1 hour deploying a suitable infrastructure.


 


A new learning experience for R developers


Also, we are delighted to announce some exciting new updates which makes R a 1st Class developer experience for learners on DSVMs and on Learn Sandboxes on MS Learn. Starting from April 2022, the DSVM offering has been enriched by DSVM for Windows 2019 v. 22.04.21, DSVM for Ubuntu 20.04 and Ubuntu 18.04 v. 22.04.27, which provide an updated R environment including the following R libraries: Cluster, Devtools Factoextra, GlueHere, Ottr, Paletteer, Patchwork, Plotly, Rmd2jupyter, Scales, Statip, Summarytools, Tidyverse, Tidymodels and Testthat.


 


Getting started with R on DSVMs : a guided tutorial


But how you can start using R on DSVMs in your course or lab to perform data science tasks? Let’s go through all the steps you’ll need to create a DSVM on Azure and run a R Jupyter notebook. 


 


1. First of all, you’ll need an Azure subscription. You have not one yet, have a look on how to sign up for a free trial or to the offers dedicated to your students.


2. Sign in to the Azure Portal and search for “data science virtual machine”. Choose one of the resulting offerings by clicking on it. For this tutorial we will use Data Science Virtual Machine – Ubuntu 20.04.


carlottacaste_1-1652785919639.png


3. Choose a resource group and the name of the VM you want to create as well as the Azure subscription on which the machine will be billed. Select the datacenter region closest to your physical location and, for quicker set up, select “Password” as authentication type. Then specify the username and password you’ll use to login into your virtual machine.


carlottacaste_0-1652804211736.png


 


Click on Review + create and wait until the deploy is succesfully completed.


4. There are different ways to access your DSVM. One of these is Jupyter Hub, a multiuser Jupyter server. To connect, open a web browser from your local machine and navigate to https://your-vm-ip:8000, replacing “your-vm-ip” with the IP address you can find in the overview section of your resource.


carlottacaste_1-1652806052197.png


 


5. At this point, you can sign in using the credentials you specified at the creation of the resource.


carlottacaste_0-1652804978805.png


6. You’re now ready to start coding in R. You may browse the many sample notebooks that are available or you can create a new notebook by clicking on the R kernel button.


carlottacaste_0-1652805999595.png


 


If you want to get more R code examples on data analysis and machine learning you can have a look to the exercise units of this MS Learn path: Create machine learning models with R and tidymodels .


7. Remember to shut down your machine when you are not using it.


 


Note that if you are an educator and you want to use DSVMs for you R course, you have the chance to choose if providing all your students with a single DSVM, by sharing the credentials within the class or to provide every student with a single DSVM, finding the right trade-off for you among costs and flexibility.


 


Keep on learning


The example above covers only one of the possible functionalities enabled by DSVMs. You can also open a session in an interactive R console or coding within RStudio, which is pre-installed in the VM. In addition, you can leverage on other Azure services for data storage and modeling and you can share code with your team by using GitHub and the pre-installed Git clients: Git Bash and Git GUI. Find out more guidance on the DSVM documentation


 


 

Connecting SQL Server 2016 to Azure – SQL Managed Instance link | Data Exposed

This article is contributed. See the original author and article here.

Link feature for Managed Instance is a new feature providing a hybrid connection between SQL Server 2016 (Enterprise, Developer and Standard editions) hosted anywhere and the fully managed PaaS service Azure SQL Managed Instance, providing unprecedented hybrid flexibility and database mobility. With an approach that uses near real-time data replication to Azure using Always On technology, you can offload workloads to read-only secondaries on Azure to take advantage of a fully managed database platform, performance, and scale. The link can be operated for as long as you need it – months and years at a time, empowering you to get all the modern benefits of Azure today without migrating to the cloud. On your modernization journey, when and if you are ready to migrate to the cloud, the link de-risks your migration experience allowing you to validate your workloads in Azure prior to migrating with a seamless and instant experience, and at your own pace. In this episode of Data Exposed with Dani Ljepava and Anna Hoffman, you’ll dive deeper into the insights of this new feature.


 


Watch on Data Exposed


 


Resources:


Link feature for Azure SQL Managed Instance (preview)


 


View/share our latest episodes on Microsoft Docs and YouTube!


 

3 advantages of composable applications to empower supply chain network innovations

3 advantages of composable applications to empower supply chain network innovations

This article is contributed. See the original author and article here.

Manufacturing supply chains are experiencing a post-pandemic paradigm shift. As business models evolve to solve market disruptions, such as changing or adding direct-to-consumer (D2C) to a business-to-business (B2B) model, supply chains require agility and innovation to build resiliency and stay ahead of trends. United States D2C e-commerce sales have more than tripled in the past six years. 1 The market gained almost $100 billion in about half a decade from 2016 to 2021. It is expected to grow by nearly another $100 billion in the next three years, reaching $212.90 billion by 2024.1 With added supply chain complexities, including D2C, B2B, and advanced last-mile delivery bots, drones, and self-driving vehicles, manufacturers need strategies that go beyond cost reduction and can easily scale across the network. Supply chain networks able to scale their ecosystems will gain a competitive advantage, and the intelligent solutions to achieve this are composable and modular business applications.

Composable business applications are cloud-based technologies that provide unlimited scalability. They seamlessly integrate with other applications and are easy to use through a low-code or no-code interface. This composability allows organizations to combine different modular applications in an incremental and agile way through rapid sprints instead of embarking on time-consuming and costly rip-and-replace projects. Therefore, reach faster impact regardless of where manufacturers might be in their digital supply chain transformation journey.

The effectiveness of organizations’ digital supply chain in orchestrating supplier and fulfillment partnerships to meet anticipated customer demand determines the quality of the customer experience, as outlined in our on-demand webinar: A Smart Approach to Supply Chain Resilience Using Intelligent Order Management, featuring George Lawrie, Forrester Vice President and Principal Analyst.

To summarize, composability makes supply chain network innovation possible, as highlighted in the three advantages below.

1. Modern open platforms pave the way for innovation

Recent years show that siloed data has no place in today’s supply chain network. Traditional networks support predictable environments, which are no longer the case with current market dynamics. From raw material shortages to non-traditional emerging channels, supply chain networks require agility that extends to all stakeholders and foster fluid collaboration.

According to a Forrester report, platforms make it easier to assemble complex technology portfolios across a range of packaging alternatives, leveraging modular components while allowing for customization and custom development.2

Composable and modular business applications seamlessly integrate with existing enterprise systems with modern open platforms and low-code/no-code interfaces. In addition, they support innovative features such as predictive analytics or agile manufacturing for real-time and cross-channel inventory visibility. They also enable manufacturers to enhance network strategies and allow rapid deployment of digital supply chain control towers another advantage of composability.

2. End-to-end visibility to scale supply chain networks

Improving the customer experience is a top priority for many organizations. However, during the COVID-19 pandemic, we saw customer loyalty easily swayed. This trend gave new brand entrants a foothold into e-commerce and catalyzed many established brands to engage D2C to maintain market share. Similarly, the rise of the omnichannel’s ease of purchasing, delivery, and return options has set high customer expectations and introduced new buying behaviors. These dynamics present significant risks as ongoing supply chain disruptions continue. But extensible composable tools arm the supply chain network with another advantage: the digital control tower with end-to-end visibility to anticipate and mitigate order management turmoil.

According to a Forrester survey, the most common planned improvement (49 percent) retailers and CPG companies are making, is better visibility across the supply chain (from factories to raw materials suppliers).3 Consumer packaged goods (CPG) manufacturers with newly launched D2C business models recognize that complete visibility is essential for favorable customer experiences.

Digital supply chain control towers take real-time data from multiple supply chain network workloads and provide a holistic, multi-dimensional view. The partnership with FedEx and Microsoft Dynamics 365 for the cross-platform, logistics-as-a-service solution for brands exemplifies these capabilities, offering features like a seamless return experience and transportation optimization to proactively avoid delivery delays. Dynamics 365 Intelligent Order Management also allows organizations to set up the first step to incrementally build a composable digital supply chain platform with different module solutions for end-to-end visibility and deliver highly valued unified customer experiences.

3. Composability with AI drives actionable insights

Finally, composable business applications enable optimization at each node level letting manufacturers know where opportunities exist. Composable business applications give manufacturers advantages that are counterintuitive to previous assumptions. Advanced analytics powered by built-in AI and machine learning capabilities allow manufacturers to test hypotheses with predictive data-driven outcomes.

A Forrester survey shows that 56 percent of respondents report that one of the most important aspects of supply chain agility is increasing the use of machine learning and AI to drive process automation.3

An innovative supply chain network leverages composable digital tools with embedded AI and machine learning to improve decision-making, unify disparate data, foresee disruptions, and utilize deeper insights.

To start building composability in your supply chain network watch the video:

This embed requires accepting cookies from the embed’s site to view the embed. Activate the link to accept cookies and view the embedded content.

This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use.

Achieve more with agile and resilient supply chains

Dynamics 365 innovates supply chain networks, making them resilient and sustainable through composability. These intelligent solutions work seamlessly with enterprise resource planning (ERP) and customer relationship management (CRM) systems to respond to market dynamics quickly and integrate with many market-leading API-enabled applications. Pre-built connectors extend business capabilities through an ecosystem of specialized partners for order delivery, tax compliance, price calculations, transportation, and other logistics services. Plus, users can easily create rules and quickly configure order flows to adapt to changing market conditions or scale to support peak volume demands with an easy-to-use low-code/no-code interface.

By enabling these capabilities, manufacturers can accelerate the digital transformation of their order management process and turn order fulfillment into a competitive advantage. Users can also automate and optimize fulfillment using AI to create real-time inventory visibility and extend into a digital control tower for end-to-end network visibility.

At Microsoft, we are committed to empowering every person and organization on the planet to achieve more. With our next-generation digital supply chain applications, manufacturers can leverage composability to drive innovation across their supply chain networks. See how they can innovate yours in the on-demand webinar: A Smart Approach to Supply Chain Resilience Using Intelligent Order Management.


Sources

1- eMarketer, 2022. Established brands will drive the vast majority of D2C ecommerce sales.

2- Forrester, 2021. Accelerate Sustainable Innovation With Platforms.

3- Forrester, 2021. The Digital Commerce Imperative. A commissioned study conducted by Forrester Consulting on behalf of Microsoft.

The post 3 advantages of composable applications to empower supply chain network innovations appeared first on Microsoft Dynamics 365 Blog.

Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.

Microsoft: A Leader in hybrid work solutions across 22 analyst reports

Microsoft: A Leader in hybrid work solutions across 22 analyst reports

This article is contributed. See the original author and article here.

The last two years have proven that every organization needs a digital fabric that connects the entire organization—from the boardroom to the frontline, and from internal teams to customers and partners. No company is better positioned to help organizations meet the demands of hybrid work than Microsoft. As the future of work unfolds, industry analysts…

The post Microsoft: A Leader in hybrid work solutions across 22 analyst reports appeared first on Microsoft 365 Blog.

Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.

Dynamics 365 Sales release wave 1: Simplifying the things that matter

Dynamics 365 Sales release wave 1: Simplifying the things that matter

This article is contributed. See the original author and article here.

Selling isn’t easy. If you were to take five minutes to ask a salesperson what makes selling so challenging, you’d quickly find that you don’t have nearly enough time to cover it all.

One thing is constant for sellerstime is in short supply. In a day, sellers are managing leads, tracking performance metrics, and collaborating with team members scattered far and wide, while at the same, delivering a blend of digital and personalized experiences to customers throughout their journey. Consequently, sellers need their data to work for them and ensure they can focus on their highest priorities.

That’s why for the Dynamics 365 Sales 2022 release wave 1, we are focused on streamlining the seller experience by elevating collaboration tools even more and expanding intelligence capabilities so that every seller can make faster use of their data, reclaim their time, and be more productive with customers.

Our approach targets three areas to improve the sales team’s experiences and empower them to achieve even more than before:

  • Guide sellers with intelligence
  • Make collaboration even easier
  • Thrive with more productive tools

Let’s take a closer look at what’s in store for sellers in the weeks and months ahead.

Guide sellers with intelligence

What if we told you that sellers could take some of the guesswork out of their day-to-day workflows? With this release wave, we’re rolling out updates to guide sellers to connect with the right customers, capture interactions to help sellers focus on winning deals, and provide comprehensive insights into their pipelines and improve the predictability of revenue forecasts.

Guide sellers with predictive analytics and automation. Over the coming months, features for Sales Accelerator will become available thereby enabling sellers (using sales enterprise or premium) to have a single workspace to help them close more deals. New capabilities include enhanced worklist features to prioritize your work, new AI-based models to improve data quality, streamlined sequences creation, and activity management, including sequence templates based on industry best practices. These features will help guide sellers on how to prioritize and connect with the right customer, assist them on executing consistently though out the customer journey, and give them the ability to choose the right engagement plan for their prospects and customers.

graphical user interface, text, application

Capture every interaction with Conversation Intelligence. Get the right insight, at the right time and at the right place with Conversation Intelligence. Sellers will now be able to capture every customer interaction and get real-time business insights on the platform or channel of their choice. They will get real-time content suggestions while on calls and insights to learn how call performance affects call outcomes. These capabilities are in preview now and will be released to general availability in September 2022.

Predictive pipeline scoring. Available now in general availability, sellers can now assign scoring attributes per sales stage and see the number of days since the deal has moved, and quickly understand how the stagnation impacts the score of the deal. This helps sellers determine the right next step to take to move the deal forward.

Enhanced forecasting. Provide sales teams with predictability to their revenue forecasts, and a workspace that provides comprehensive views and insights into their sales pipeline. Now in general availability, sales teams can streamline forecasting workflows by setting the default view. Now teams can quickly access sales projections, freeing up time to focus on customers.

Make collaboration even easier

Let’s face itthese days to sell well you need a hyperconnected team. From customer relationship management (CRM) to email to messaging apps, sales teams rely on a lot of tools to get their jobs done. That’s why we focused on enhancing the connection between Dynamics 365 Sales and Microsoft Teams to ensure teams can collaborate more easily and be more productive.

Tighter Teams experience. Sales teams will now be able to easily associate Teams meetings with Dynamics 365 Sales records allowing for even more productive meetings. Sales teams can capture notes and tasks, as well as quickly access and update records, right within the Teams interface. This feature will become generally available beginning in September.

a screenshot of a computer screen

Embedded Teams chat in Dynamics 365. Now sellers can stay within their CRM workflow while collaborating with their stakeholders with the Teams-embedded chat experience to ensure context remains front and center.

Thrive with more productive tools

Finally, sellers are now enabled to better keep their finger on the pulse of customer relationships and introduce automation into their sales processes that didn’t exist before.

Rich messaging with Dynamics data. Not all sales conversations initiate from Dynamics. Users need a way to bring business context into conversations when and where they are initiated. We now enable sellers to share and interact with Dynamics 365 Sales records directly in the Teams message.

graphical user interface, application, Teams

Discover hidden accounts and contacts. With predictive relationship intelligence, sales teams can query their entire network based on interactions gleaned from Dynamics 365 Sales and Exchange to uncover hidden relationships, obtain introductions, and accelerate opportunities.

Simplify day-to-day sales activities. With the built-in Sales Hub app, sellers can get their ideal selling experience. Sales Hub is designed to simplify your day-to-day sales activities providing sellers vital information in one place, unblocking them to focus on key activities and tasks that require attention.

Learn more

These are just a few features we’re rolling out for Dynamics 365 release wave 1. To go deeper into our newest features for Dynamics 365 Sales, click on the links to these online documentation and video resources.

If you are not yet a Dynamics 365 Sales customer, check out our Dynamics 365 Sales webpage where you can take a guided tour or get a free 30-day trial.

The post Dynamics 365 Sales release wave 1: Simplifying the things that matter appeared first on Microsoft Dynamics 365 Blog.

Brought to you by Dr. Ware, Microsoft Office 365 Silver Partner, Charleston SC.