26

Oct

Anaconda and Microsoft Partner to Offer Python and R for Powerful Machine Learning

This post was authored by Nagesh Pabbisetty, Partner Director of Program Management, Microsoft Machine Learning Services.

Recently, at Strata Data Conference in New York City, Microsoft and Anaconda announced an exciting partnership to make Anaconda Python distribution into SQL Server, Machine Learning Server, Azure Machine Learning, and Visual Studio to deliver real-time insights. In addition, Anaconda will be distributing Microsoft R. Let’s take a deeper look at this exciting new partnership.

Microsoft is committed to helping developers build AI powered applications by enabling them to do machine learning and AI wherever their data is. SQL Server 2017 includes Machine Learning Services — enterprise grade in-database machine learning capabilities with R and Python languages. Machine Learning Server enables customers to do scalable machine learning using R or Python on standalone Windows and Linux servers, Hadoop clusters and Azure data platforms.

Anaconda is the leading distribution of Python leveraged by millions of users today. A strong partnership with this popular Python distribution for data science further strengthens Microsoft’s goal of building tools to empower every organization to build their own AI capabilities.

Microsoft and Anaconda built a customized Anaconda distribution – Anaconda for Microsoft for doing machine learning with Microsoft products and

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25

Oct

AI for Education: Individualized Code Feedback for Thousands of Students

This post is authored by Matthew Calder, Senior Business Strategy Manager, and Ke Wang, Research Intern at Microsoft.

There are more than 9,000 students enrolled in the Microsoft Introduction to C# course on edX.org. Although course staff can’t offer the type of guidance available in an on-campus classroom setting, students can receive personalized help, thanks to a project from Microsoft Research. When a student’s assignment contains mistakes, that student—within seconds—receives a message specific to their code submission. Beyond just informing the student that their program doesn’t work, Microsoft has created a tool which automatically generates feedback that precisely identifies errors and even hints at how to correct them. Students are happy to get fast, focused guidance so they can concentrate on learning new skills rather than on just troubleshooting.

Learning from Thousands of Students

Ke Wang is the Microsoft Research Intern who has led this project since summer 2016. Paul Pardi, Principal Content Publishing Manager in Microsoft Learning, initiated the project because his team was looking to better teach the thousands of students who take their Massive Open Online Courses (MOOCs) through a partnership with edX.org. The idea was to see more students completing their courses with the help of

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25

Oct

AI for Education: Individualized Code Feedback for Thousands of Students

This post is authored by Matthew Calder, Senior Business Strategy Manager, and Ke Wang, Research Intern at Microsoft.

There are more than 9,000 students enrolled in the Microsoft Introduction to C# course on edX.org. Although course staff can’t offer the type of guidance available in an on-campus classroom setting, students can receive personalized help, thanks to a project from Microsoft Research. When a student’s assignment contains mistakes, that student—within seconds—receives a message specific to their code submission. Beyond just informing the student that their program doesn’t work, Microsoft has created a tool which automatically generates feedback that precisely identifies errors and even hints at how to correct them. Students are happy to get fast, focused guidance so they can concentrate on learning new skills rather than on just troubleshooting.

Learning from Thousands of Students

Ke Wang is the Microsoft Research Intern who has led this project since summer 2016. Paul Pardi, Principal Content Publishing Manager in Microsoft Learning, initiated the project because his team was looking to better teach the thousands of students who take their Massive Open Online Courses (MOOCs) through a partnership with edX.org. The idea was to see more students completing their courses with the help of

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23

Oct

Ask the team that built SQL Server 2017 anything on October 25, 2017

Hi! We’re Travis Wright and Tobias Ternstrom from the Microsoft SQL Server engineering team and we along with other members of the team are hosting a Reddit Ask Me Anything session on /r/Database, Wednesday, October 25, 2017, from 10:00 am to 11:30am PDT.

Why are we doing an AMA?

SQL Server 2017 was made generally available on October 2, on Windows, Linux and Docker containers. With this release, customers have an even wider choice of development languages, data types, and operating systems. We’re excited to connect with you on Reddit to tell you more about our experiences bringing it to market and answering your questions!

We’re also getting ready to join thousands of data professionals in Seattle from October 31 – November 3rd at the PASS Summit 2017. We look forward to this gathering every year. If you’re attending or planning to watch online, this AMA is a great time to catch up beforehand.

Join us! We’re looking forward to having a conversation with you.

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23

Oct

Ask the team that built SQL Server 2017 anything on October 25, 2017

Hi! We’re Travis Wright and Tobias Ternstrom from the Microsoft SQL Server engineering team and we along with other members of the team are hosting a Reddit Ask Me Anything session on /r/Database, Wednesday, October 25, 2017, from 10:00 am to 11:30am PDT.

Why are we doing an AMA?

SQL Server 2017 was made generally available on October 2, on Windows, Linux and Docker containers. With this release, customers have an even wider choice of development languages, data types, and operating systems. We’re excited to connect with you on Reddit to tell you more about our experiences bringing it to market and answering your questions!

We’re also getting ready to join thousands of data professionals in Seattle from October 31 – November 3rd at the PASS Summit 2017. We look forward to this gathering every year. If you’re attending or planning to watch online, this AMA is a great time to catch up beforehand.

Join us! We’re looking forward to having a conversation with you.

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23

Oct

Ask the team that built SQL Server 2017 anything on October 25, 2017

Hi! We’re Travis Wright and Tobias Ternstrom from the Microsoft SQL Server engineering team and we along with other members of the team are hosting a Reddit Ask Me Anything session on /r/Database, Wednesday, October 25, 2017, from 10:00 am to 11:30am PDT.

Why are we doing an AMA?

SQL Server 2017 was made generally available on October 2, on Windows, Linux and Docker containers. With this release, customers have an even wider choice of development languages, data types, and operating systems. We’re excited to connect with you on Reddit to tell you more about our experiences bringing it to market and answering your questions!

We’re also getting ready to join thousands of data professionals in Seattle from October 31 – November 3rd at the PASS Summit 2017. We look forward to this gathering every year. If you’re attending or planning to watch online, this AMA is a great time to catch up beforehand.

Join us! We’re looking forward to having a conversation with you.

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18

Oct

Monitoring SQL Server and Azure SQL DB Session at DBA Fundamentals PASS VC

https://blogs.msdn.microsoft.com/sql_server_team/monitoring-sql-server-and-azure-sql-db-session-at-dba-fundamentals-pass-vc/Source: https://blogs.msdn.microsoft.com/sql_server_team/monitoring-sql-server-and-azure-sql-db-session-at-dba-fundamentals-pass-vc/   On 10/17/2017, we delivered a webinar session titled “Comprehensive Guide for Monitoring SQL Server and Azure SQL DB” hosted by DBA Fundamentals PASS Virtual Chapter. You can find the link to the recording below. In the session, we talked about READ MORE

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12

Oct

SQL Server Tiger at PASS Summit 2017
SQL Server Tiger at PASS Summit 2017

https://blogs.msdn.microsoft.com/sql_server_team/sql-server-tiger-at-pass-summit-2017/Source: https://blogs.msdn.microsoft.com/sql_server_team/sql-server-tiger-at-pass-summit-2017/   The SQL Server team will again be at the Summit this year. If we are not speaking or co-speaking in a session, you can find us at the SQL Server Clinic at any time. Sessions Here are READ MORE

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05

Oct

SQL Server 2012 Service Pack 4 (SP4) is now available!
SQL Server 2012 Service Pack 4 (SP4) is now available!

https://blogs.msdn.microsoft.com/sql_server_team/sql-server-2012-service-pack-4-sp4-is-now-available/Source: https://blogs.msdn.microsoft.com/sql_server_team/sql-server-2012-service-pack-4-sp4-is-now-available/   SQL Server Product Team is excited to bring you the final release of SQL Server 2012 Service Packs, Service Pack 4 (SP4). This release of SQL 2012 Service Pack has 20+ improvements centered around performance, scalability and READ MORE

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05

Oct

Enabling Confidential Computing with Always Encrypted using Enclaves (Early Access Preview)

https://blogs.msdn.microsoft.com/sqlsecurity/2017/10/05/enabling-confidential-computing-with-always-encrypted-using-enclaves-early-access-preview/Source: https://blogs.msdn.microsoft.com/sqlsecurity/2017/10/05/enabling-confidential-computing-with-always-encrypted-using-enclaves-early-access-preview/   Last week at Ignite, we announced a major SQL security investment that enhances Always Encrypted with secure enclave technologies to enable: Rich computations on encrypted columns, including pattern matching, range comparisons, and sorting, which unlocks Always Encrypted READ MORE

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