Sign in
Microsoft.com
 
Microsoft
 
 
 
Announcement: 3

Data Science Virtual Machine (DSVM) announcement

  • Link
    DSVM forum will be migrating to a new home on Microsoft Q&A!
    sammmmmy1

    We’ve listened to your feedback on how we can enhance the forum experience. Microsoft Q&A allows us to add new functionality and enables easier access to all the technical resources most useful to you, like Microsoft Docs and Microsoft Learn.

    Now until November 9, 2020

    From November 9, 2020 until November 23, 2020

    • New posts – Post any new questions in the DSVM forum’s new home on Microsoft Q&A. The current forum will not allow any new questions.
    • Existing posts – Interact here with existing content, answer questions, provide comments, etc.

    November 23, 2020 onwards:

    • This forum will be closed to all new and existing posts and all interactions will be in Microsoft Q&A

    We are excited about moving to Microsoft Q&A and seeing you there.

    Learn More

  • Link
    Windows Data Science VM (15-NOV-2016) Update
    Gopi Kumar (MSFT)

    A new refresh of the Windows Data Science Virtual Machine Image has been released to the Azure marketplace. You will see the version as 1.6.1 on the marketplace listing page of the VM on Azure.

    The following are the highlights in this release:

    1. [BREAKING CHANGE] Jupyter Notebook Server is disabled by default. A new script (c:\dsvm\tools\setup\JupyterSetPasswordAndStart.cmd) has been created to help you set the Jupyter password and start the Jupyter server. This is a one time process. There is a convenient shortcut on the desktop that you can double click to do this operation. You may have to wait a few seconds after setting the password before accessing Jupyter from your browser. 

    2. The following are the major new software on the VM:

    • Microsoft Cognitive Toolkit 2.0 (also known as CNTK). Now a Python interface (Python 3.4)  is available to build your deep neural networks. Comes with lots of samples, notebooks and hands-on labs. 
    • Weka 3 - An open source Visual Data Mining Software in Java. 
    • Apache Drill - An open source schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage.  Supports ODBC and JDBC interfaces to enable querying NoSQL and files from standard BI tools like PowerBI, Excel, Tableau.
    • eVince PDF reader
    • Side-by-side install of  Microsoft R Open 3.3.1 (Enhanced Open source R distribution based on and 100% compatible with R-3.3.1). This is in addition to the default R instance which is Microsoft R Server developer edition (which in turn is based on R-3.2.2). You can switch to Microsoft R Open 3.3.1 if you need to run R programs that depend on the latest R version. 
    • OpenJDK 1.8.0_102 : An open source implementation of Java  Standard edition platform.
    • A new conda environment for Python 3.4 in addition to the existing Python 2.7, Python 3.5. 
    • R libraries: RSQLServer library to access SQL Server databases through the dplyr interface; dplyrXdf library to work with Microsoft R Xdf files using the dplyr paradigm. 
    • Mozilla Firefox browser. Jupyter notebook software is better tested and supported on Firefox. If you are see issues with running notebooks on default IE browser, please retry with Firefox. 
    • Visual Studio Code - An open source code editor supporting several popular programming languages and extensions. Particularly useful for editing / previewing markdown and a lightweight client to work with Git repositories.
    • Libraries to access objects stored in Azure Data Lake Store (WebHdfs) from Microsoft R Server using the R functions RxHdfsFileSystem, RxTextData.

    We have a few more new samples. They are can be found on the Jupyter notebooks home (c:\dsvm\notebooks on the VM instance) when you login to the Jupyter server on the new data science VM. Non-notebook samples are found in c:\dsvm\samples. You can also download detailed labs for Cortana Intelligence Advanced Analytics labs and Microsoft R Server from shortcuts found on desktop or from c:\dsvm\samples\Labs. 

  • Link
    Welcome to the official community forum for the Data Science Virtual Machine (DSVM), monitored by the DSVM team at Microsoft
    Barnam Bora [MSFT]

    If you are already using or are planning to use the Data Science Virtual Machine (DSVM), you are definitely not alone.

    A rapidly growing number of people and organizations globally from across different industries with diverse skills and requirements have started to use the DSVM. This is quickly expanding the number and types of problems that people are trying to solve using the DSVM. It is our intention to build and grow this community and promote the healthy sustainable conversations, community based problem solving and knowledge sharing that Microsoft forums have always been known for. The DSVM team is committed to being actively engaged in the conversations and responding whenever possible and required.

    The forum is intended to be the central location for our customers to interact with their peers and the DSVM team. This dialogue greatly helps not only the community and new users but also the DSVM team to make the right decisions about what direction to take the product, in future releases.

    We encourage you to ask a question today.

    Click to Download the 2-page DSVM Handout as PDF.

Found 141 threads
Announcement: 3

Data Science Virtual Machine (DSVM) announcement

  • Link
    DSVM forum will be migrating to a new home on Microsoft Q&A!
    sammmmmy1

    We’ve listened to your feedback on how we can enhance the forum experience. Microsoft Q&A allows us to add new functionality and enables easier access to all the technical resources most useful to you, like Microsoft Docs and Microsoft Learn.

    Now until November 9, 2020

    From November 9, 2020 until November 23, 2020

    • New posts – Post any new questions in the DSVM forum’s new home on Microsoft Q&A. The current forum will not allow any new questions.
    • Existing posts – Interact here with existing content, answer questions, provide comments, etc.

    November 23, 2020 onwards:

    • This forum will be closed to all new and existing posts and all interactions will be in Microsoft Q&A

    We are excited about moving to Microsoft Q&A and seeing you there.

    Learn More

  • Link
    Windows Data Science VM (15-NOV-2016) Update
    Gopi Kumar (MSFT)

    A new refresh of the Windows Data Science Virtual Machine Image has been released to the Azure marketplace. You will see the version as 1.6.1 on the marketplace listing page of the VM on Azure.

    The following are the highlights in this release:

    1. [BREAKING CHANGE] Jupyter Notebook Server is disabled by default. A new script (c:\dsvm\tools\setup\JupyterSetPasswordAndStart.cmd) has been created to help you set the Jupyter password and start the Jupyter server. This is a one time process. There is a convenient shortcut on the desktop that you can double click to do this operation. You may have to wait a few seconds after setting the password before accessing Jupyter from your browser. 

    2. The following are the major new software on the VM:

    • Microsoft Cognitive Toolkit 2.0 (also known as CNTK). Now a Python interface (Python 3.4)  is available to build your deep neural networks. Comes with lots of samples, notebooks and hands-on labs. 
    • Weka 3 - An open source Visual Data Mining Software in Java. 
    • Apache Drill - An open source schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage.  Supports ODBC and JDBC interfaces to enable querying NoSQL and files from standard BI tools like PowerBI, Excel, Tableau.
    • eVince PDF reader
    • Side-by-side install of  Microsoft R Open 3.3.1 (Enhanced Open source R distribution based on and 100% compatible with R-3.3.1). This is in addition to the default R instance which is Microsoft R Server developer edition (which in turn is based on R-3.2.2). You can switch to Microsoft R Open 3.3.1 if you need to run R programs that depend on the latest R version. 
    • OpenJDK 1.8.0_102 : An open source implementation of Java  Standard edition platform.
    • A new conda environment for Python 3.4 in addition to the existing Python 2.7, Python 3.5. 
    • R libraries: RSQLServer library to access SQL Server databases through the dplyr interface; dplyrXdf library to work with Microsoft R Xdf files using the dplyr paradigm. 
    • Mozilla Firefox browser. Jupyter notebook software is better tested and supported on Firefox. If you are see issues with running notebooks on default IE browser, please retry with Firefox. 
    • Visual Studio Code - An open source code editor supporting several popular programming languages and extensions. Particularly useful for editing / previewing markdown and a lightweight client to work with Git repositories.
    • Libraries to access objects stored in Azure Data Lake Store (WebHdfs) from Microsoft R Server using the R functions RxHdfsFileSystem, RxTextData.

    We have a few more new samples. They are can be found on the Jupyter notebooks home (c:\dsvm\notebooks on the VM instance) when you login to the Jupyter server on the new data science VM. Non-notebook samples are found in c:\dsvm\samples. You can also download detailed labs for Cortana Intelligence Advanced Analytics labs and Microsoft R Server from shortcuts found on desktop or from c:\dsvm\samples\Labs. 

  • Link
    Welcome to the official community forum for the Data Science Virtual Machine (DSVM), monitored by the DSVM team at Microsoft
    Barnam Bora [MSFT]

    If you are already using or are planning to use the Data Science Virtual Machine (DSVM), you are definitely not alone.

    A rapidly growing number of people and organizations globally from across different industries with diverse skills and requirements have started to use the DSVM. This is quickly expanding the number and types of problems that people are trying to solve using the DSVM. It is our intention to build and grow this community and promote the healthy sustainable conversations, community based problem solving and knowledge sharing that Microsoft forums have always been known for. The DSVM team is committed to being actively engaged in the conversations and responding whenever possible and required.

    The forum is intended to be the central location for our customers to interact with their peers and the DSVM team. This dialogue greatly helps not only the community and new users but also the DSVM team to make the right decisions about what direction to take the product, in future releases.

    We encourage you to ask a question today.

    Click to Download the 2-page DSVM Handout as PDF.