Since the world shifted to remote work research shows there are some bright spots. People cite flexibility and greater empathy for team members. 62% of people surveyed said they feel more empathetic toward colleagues now that we can all see into each other’s lives at home. On the other hand, there are concerning trends… We’re eroding the social capital built over decades around water coolers and in hallways leading to loss of connection and feelings of isolation. People are working longer hours – leaving them feeling depleted with the biggest increases in Teams usage outside the typical 9-to-5 workday and on weekends. Workday length increased 17% in Japan, 25% in the U.S., and 45% in Australia. One third of remote workers say the lack of separation between work and life is negatively impacting their well-being and more than 30% of information workers and first line workers say the pandemic has “somewhat” or “significantly increased” their sense of burnout. But, 70% of people also indicate that meditation could help decrease work-related stress. It’s clear that people want to do great work. The big question: How can technology help?
I used this post back in early May as a guide, following it step-by-step, and found it to be very effective. Christiaan talks about the why and how and has a fantastic viewpoint (and is connected to the product).
For more information or assistance on deploying Azure virtual desktop for your business contact us.
At Ability Summit 2020 Microsoft CEO Satya Nadella explains his personal passion for accessibility technologies and what accessibility means to him and to Microsoft. Satya’s son has made this personal to him. He demonstrates why empathy is core to embedding accessibility into the DNA of Microsoft and into business culture at large.
Hi. I’m Jenny Lay-Flurrie, Chief Accessibility Officer at Microsoft. We’re going to talk about accessibility, so first let’s explain what this is. There are lots of examples of accessibility in the world. There’s accessibility of buildings and physical space with ramps, power door openers and more. And there’s also digital accessibility. Rendering websites, software, and games, to be accessible and inclusive for people with disabilities. All this and a lot more are great. Because at the core, accessibility is about creating experiences that are inclusive of the one billion people with disabilities around the world. With accessibility, we have both an opportunity and a responsibility to create inclusive tech that works for all of us. Accessibility is NOT optional. It is a key priority for Microsoft.
Technology can connect people in how they communicate, how they learn, transact and experience the world. And when tech is inclusive, we can connect people and information in amazing ways. On the flip side, if accessibility is not considered and your process does not prioritize accessibility, you have the power to exclude people, which is clearly not what we want to do. So, if we’re really going to lean into our mission to empower every person and every organization on the planet to achieve more, we have to think about accessibility, and embed it into the DNA of Microsoft. It’s an ecosystem. It starts with the people that we hire and empower. Right the way through to our marketing, communications, to the standards to which we hold our suppliers, vendors, and partners, our products, our innovations, and our workplace. Because we have an amazing opportunity to explore the great potential and hard questions, of how to create the next generation of accessible tech and the wave of innovation that comes with it. Just imagine what we can do together.
We’re going to take you on a journey through time and space, and to illustrate some of the common scenarios. Just remember that everyone’s experience is completely different. And we’re going to share just a few stories that will be helpful in understanding accessibility for now and the future. Thank you for investing your time to watch this today.
When it comes to assistive technologies the person leading the way for Microsoft is their Chief Accessibility Officer Jenny Lay-Flurrie. She’s from Birmingham, England, is profoundly deaf, works in Seattle, Washington, USA, and is passionate about the importance of putting inclusion at the heart of corporate culture. This is no small undertaking as it requires a paradigm shift in corporate thinking. But Jenny has never shied away from a fight. This October 1, 2020 interview may be giving you a first look at this amazing woman. Here’s a more in-depth look into her: https://news.microsoft.com/stories/people/jenny-lay-flurrie.html.
This article is contributed. See the original author and article here.
One of the challenges of large scale data analysis is being able to get the value from data with least effort. Doing that often involves multiple stages: provisioning infrastructure, accessing or moving data, transforming or filtering data, analyzing and learning from data, automating the data pipelines, connecting with other services that provide input or consume the output data, and more. There are quite a few tools available to solve these questions, but it’s usually difficult to have them all in one place and easily connected.
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This is the first article in this series, which will cover what Azure Synapse is and how to start using it with Azure CLI. Make sure yourAzure CLIis installed and up-to-date, and add asynapseextension if necessary:
$ az extension add --name synapse
What is Azure Synapse? In Azure, we haveSynapse Analyticsservice, which aims to provide managed support for distributed data analysis workloads with less friction. If you’re coming from GCP or AWS background, Azure Synapse alternatives in other clouds are products like BigQuery or Redshift. Azure Synapse is currently in public preview.
Serverless and provisioned capacity In the world of large-scale data processing and analytics, things like autoscale clusters and pay-for-what-you-use has become a must-have. In Azure Synapse, you can choose betweenserverless and provisionedcapacity, depending on whether you need to be flexible and adjust to bursts, or have a predictable resource load.
Native Apache Spark support Apache Spark has demonstrated its power in data processing for both batch and real-time streaming models. It offers a great Python and Scala/Java support for data operations at large scale. Azure Synapse providesbuilt-in supportfor data analytics using Apache Spark. It’s possible to create an Apache Spark pool, upload Spark jobs, or create Spark notebooks for experimenting with the data.
SQL support In addition to Apache Spark support, Azure Synapse has excellent support for data analytics withSQL.
Other features Azure Synapse provides smooth integration with Azure Machine Learning and Spark ML. It enables convenient data ingestion and export using Azure Data Factory, which connects with many Azure and independent data input and output sources. Data can be effectively visualized with PowerBI.
At Microsoft Build 2020, Satya Nadella announcedSynapse Linkfunctionality that will help get insights from real-time transactional data stored in operational databases (e.g. Cosmos DB) with a single click, without the need to manage data movement.
Get started with Azure Synapse Workspaces using Azure CLI
Prepare the necessary environment variables:
$ StorageAccountName='<come up with a name for your storage account>'$ ResourceGroup='<come up with a name for your resource group>'$ Region='<come up with a name of the region, e.g. eastus>'$ FileShareName='<come up with a name of the storage file share>'$ SynapseWorkspaceName='<come up with a name for Synapse Workspace>'$ SqlUser='<come up with a username>'$ SqlPassword='<come up with a secure password>'
Create a resource group as a container for your resources:
$ az group create --name$ResourceGroup--location$Region
Create a Data Lake storage account:
$ az storage account create
After you successfully created these resources, you should be able to go to Azure Portal, and navigate to the resource called$SynapseWorkspaceNamewithin$ResourceGroupresource group. You should see a similar page:
You can now load data and experiment with it in Synapse Data Studio, create Spark or SQL pools and run analytics queries, connect to PowerBI and visualize your data, and many more.
Stay tuned for next articles to learn more! Thanks for reading!
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