Gail Shaw's guest appearances

Gail Shaw

ZADevChat Podcast

People Talking Tech

Geeks on Screens with Coffee

Chris Webb

Grant Fritchey

Jessica Moss

Bob Ward

Kevin Kline

Chris Taylor

Jeff Fletcher

Ben Watt

Mike Davis

Richard Douglas

Alex Yates

Kenneth Kalmer

Alexander Arvidsson

Sarah Lean

Simon Stewart

OwlTail

Geeks on Screens with Coffee Episode 60  -  Wild SQL    Look who I bumped into at the water cooler/tea room/corridor?  It's only Gail Shaw (@SQLintheWild )     Bio: Gail is a Database Specialist focusing on database performance tuning and database recovery, with a particular interest in topics such as indexing strategies, execution plans, and writing T-SQL code that performs well and scales gracefully.    Gail is a Data Platform MVP, a Pluralsight author, writes articles for both SQLServerCentral.com and Simple-Talk.com, and has spoken at SQL Saturdays locally and internationally, SQL Bits and at the PASS Community Summit.    Gail has been responsible for extending the lifespan of many an application by performance-tuning their databases as well as providing technical guidance on all things SQL Server related.  I   must dash, the kettle has almost boiled.  Love you!  Youtube: https://youtu.be/k1oNvDaLSZo

Geeks on Screens with Coffee Episode 60  -  Wild SQL   Look who I bumped into at the water cooler/tea room/corridor?  It's only Gail Shaw (@SQLintheWild )    Bio: Gail is a Database Specialist focusing on database performance tuning and database recovery, with a particular interest in topics such as indexing strategies, execution plans, and writing T-SQL code that performs well and scales gracefully.   Gail is a Data Platform MVP, a Pluralsight author, writes articles for both <a href="http://SQLServerCentral.com" rel="nofollow" target="_blank">SQLServerCentral.com</a> and <a href="http://Simple-Talk.com" rel="nofollow" target="_blank">Simple-Talk.com</a>, and has spoken at SQL Saturdays locally and internationally, SQL Bits and at the PASS Community Summit.   Gail has been responsible for extending the lifespan of many an application by performance-tuning their databases as well as providing technical guidance on all things SQL Server related.  I  must dash, the kettle has almost boiled.  Love you! Youtube: <a href="https://youtu.be/k1oNvDaLSZo" rel="nofollow" target="_blank">https://youtu.be/k1oNvDaLSZo</a>

60 - Gail Shaw (@SQLintheWild ) - Geeks on Screens with Coffee Season 3

We talk to Gail Shaw about data, in all its shapes and sizes. Gail is a 10 year Microsoft MVP, and has tamed many a database in her career and shares some great insights with us.Chantal, Kenneth &amp; Len talk data with Gail Shaw. From Gail's first 8086 PC, dual majoring in physics &amp; computer science and printed Oracle error codes we join Gail on her journey into the realm SQL Server and how she's conquered it.We get some advice for squeezing a little more performance out of your production database, which might be more obvious than you'd think!Ever wondered about SQL Server on Linux? Gail has some great insights as to why Microsoft might gone down that route. We all take stock of Microsoft's great recent contributions to the open-source, and the efforts to liberate their tools from their operating systems.We venture into the world of big data, cautiously, while clarifying some terms and distinguishing big data from just "a lot of data". Thinking of big data in terms of analytics help focus the discussions and breaks big data up into layers. The consequences of incorrect medical diagnostics even came up!Find and follow Gail online* https://twitter.com/SQLintheWild* http://sqlinthewild.co.za/We mention some recorded talks by Gail.* https://sqlbits.com/Sessions/Event14/All_about_Indexes* https://www.youtube.com/watch?v=y_bl9dArtmAHere are some resources mentioned in the show:* Intel 8086 - https://en.wikipedia.org/wiki/Intel_8086* Modula-2 - https://en.wikipedia.org/wiki/Modula-2* Microsoft Access - https://en.wikipedia.org/wiki/Microsoft_Access* MSSQL Server on Linux in Docker - https://hub.docker.com/r/microsoft/mssql-server-linux/* 3V's of Big Data - http://whatis.techtarget.com/definition/3Vs* Data lake - https://en.wikipedia.org/wiki/Data_lake* Python - http://python.org* R - https://www.r-project.org/* The Iris dataset - http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html* PASS Summit - http://www.pass.org/* Microsoft Cognitive Services - https://azure.microsoft.com/en-us/services/cognitive-services/* Decision trees - https://en.wikipedia.org/wiki/Decision_tree* Boosted Decision Tree - https://msdn.microsoft.com/en-us/library/azure/dn905801.aspx* Predictive Analytics - https://en.wikipedia.org/wiki/Predictive_analytics* Prescriptive Analytics - https://en.wikipedia.org/wiki/Prescriptive_analytics* Cortana Intelligence - https://www.microsoft.com/en-us/cloud-platform/cortana-intelligenceAnd finally our picksGail:* Kaggle - https://www.kaggle.com/* Microsoft Research - https://www.microsoft.com/en-us/research/Len:* TensorFlow - https://www.tensorflow.org/Chantal:* Boomerang for Gmail - http://www.boomeranggmail.com/Kenneth:* Theory of Everything - https://toe.prx.orgThanks for listening!Stay in touch:* Website &amp; newsletter - https://zadevchat.io* Socialize - https://twitter.com/zadevchat &amp; http://facebook.com/ZADevChat/* Suggestions and feedback - https://github.com/zadevchat/ping* Subscribe and rate in iTunes - http://bit.ly/zadevchat-itunes

We talk to Gail Shaw about data, in all its shapes and sizes. Gail is a 10 year Microsoft MVP, and has tamed many a database in her career and shares some great insights with us. Chantal, Kenneth &amp; Len talk data with Gail Shaw. From Gail's first 8086 PC, dual majoring in physics &amp; computer science and printed Oracle error codes we join Gail on her journey into the realm SQL Server and how she's conquered it. We get some advice for squeezing a little more performance out of your production database, which might be more obvious than you'd think! Ever wondered about SQL Server on Linux? Gail has some great insights as to why Microsoft might gone down that route. We all take stock of Microsoft's great recent contributions to the open-source, and the efforts to liberate their tools from their operating systems. We venture into the world of big data, cautiously, while clarifying some terms and distinguishing big data from just "a lot of data". Thinking of big data in terms of analytics help focus the discussions and breaks big data up into layers. The consequences of incorrect medical diagnostics even came up! Find and follow Gail online * <a href="https://twitter.com/SQLintheWild" rel="nofollow" target="_blank">https://twitter.com/SQLintheWild</a> * <a href="http://sqlinthewild.co.za/" rel="nofollow" target="_blank">http://sqlinthewild.co.za/</a> We mention some recorded talks by Gail. * <a href="https://sqlbits.com/Sessions/Event14/All_about_Indexes" rel="nofollow" target="_blank">https://sqlbits.com/Sessions/Event14/All_about_Indexes</a> * <a href="https://www.youtube.com/watch?v=y_bl9dArtmA" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=y_bl9dArtmA</a> Here are some resources mentioned in the show: * Intel 8086 - <a href="https://en.wikipedia.org/wiki/Intel_8086" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Intel_8086</a> * Modula-2 - <a href="https://en.wikipedia.org/wiki/Modula-2" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Modula-2</a> * Microsoft Access - <a href="https://en.wikipedia.org/wiki/Microsoft_Access" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Microsoft_Access</a> * MSSQL Server on Linux in Docker - <a href="https://hub.docker.com/r/microsoft/mssql-server-linux/" rel="nofollow" target="_blank">https://hub.docker.com/r/microsoft/mssql-server-linux/</a> * 3V's of Big Data - <a href="http://whatis.techtarget.com/definition/3Vs" rel="nofollow" target="_blank">http://whatis.techtarget.com/definition/3Vs</a> * Data lake - <a href="https://en.wikipedia.org/wiki/Data_lake" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Data_lake</a> * Python - <a href="http://python.org" rel="nofollow" target="_blank">http://python.org</a> * R - <a href="https://www.r-project.org/" rel="nofollow" target="_blank">https://www.r-project.org/</a> * The Iris dataset - <a href="http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html" rel="nofollow" target="_blank">http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html</a> * PASS Summit - <a href="http://www.pass.org/" rel="nofollow" target="_blank">http://www.pass.org/</a> * Microsoft Cognitive Services - <a href="https://azure.microsoft.com/en-us/services/cognitive-services/" rel="nofollow" target="_blank">https://azure.microsoft.com/en-us/services/cognitive-services/</a> * Decision trees - <a href="https://en.wikipedia.org/wiki/Decision_tree" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Decision_tree</a> * Boosted Decision Tree - <a href="https://msdn.microsoft.com/en-us/library/azure/dn905801.aspx" rel="nofollow" target="_blank">https://msdn.microsoft.com/en-us/library/azure/dn905801.aspx</a> * Predictive Analytics - <a href="https://en.wikipedia.org/wiki/Predictive_analytics" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Predictive_analytics</a> * Prescriptive Analytics - <a href="https://en.wikipedia.org/wiki/Prescriptive_analytics" rel="nofollow" target="_blank">https://en.wikipedia.org/wiki/Prescriptive_analytics</a> * Cortana Intelligence - <a href="https://www.microsoft.com/en-us/cloud-platform/cortana-intelligence" rel="nofollow" target="_blank">https://www.microsoft.com/en-us/cloud-platform/cortana-intelligence</a> And finally our picks Gail: * Kaggle - <a href="https://www.kaggle.com/" rel="nofollow" target="_blank">https://www.kaggle.com/</a> * Microsoft Research - <a href="https://www.microsoft.com/en-us/research/" rel="nofollow" target="_blank">https://www.microsoft.com/en-us/research/</a> Len: * TensorFlow - <a href="https://www.tensorflow.org/" rel="nofollow" target="_blank">https://www.tensorflow.org/</a> Chantal: * Boomerang for Gmail - <a href="http://www.boomeranggmail.com/" rel="nofollow" target="_blank">http://www.boomeranggmail.com/</a> Kenneth: * Theory of Everything - <a href="https://toe.prx.org" rel="nofollow" target="_blank">https://toe.prx.org</a> Thanks for listening! Stay in touch: * Website &amp; newsletter - <a href="https://zadevchat.io" rel="nofollow" target="_blank">https://zadevchat.io</a> * Socialize - <a href="https://twitter.com/zadevchat" rel="nofollow" target="_blank">https://twitter.com/zadevchat</a> &amp; <a href="http://facebook.com/ZADevChat/" rel="nofollow" target="_blank">http://facebook.com/ZADevChat/</a> * Suggestions and feedback - <a href="https://github.com/zadevchat/ping" rel="nofollow" target="_blank">https://github.com/zadevchat/ping</a> * Subscribe and rate in iTunes - <a href="http://bit.ly/zadevchat-itunes" rel="nofollow" target="_blank">http://bit.ly/zadevchat-itunes</a>

62 - Data Of All Shapes & Sizes With Gail Shaw

This week in episode 022 I’m joined by Gail Shaw who is a fellow SQL Server MVP and a SQL Server Consultant from Johannesburg, South Africa.  Gail is a major question answerer on some of the forums where she answers lots of SQL Server programming questions.  During this weeks episode Gail and I talk through some of the biggest problems that she sees in questions that are asked.  This includes things like BEGIN TRANSACTION, COMMIT and ROLLBACK TRANSACTION, as well as a single stored procedure that does everything, and of the biggest issues that she sees online error handling, or more specifically the lack of error handling and the improper use of error handling.

<a href="http://peopletalkingtech.com/episode-022-gail-shaw/gail" rel="attachment wp-att-230 nofollow" target="_blank"></a>This week in episode 022 I’m joined by <a href="http://sqlinthewild.co.za/" rel="nofollow" target="_blank">Gail Shaw</a> who is a fellow SQL Server MVP and a SQL Server Consultant from Johannesburg, South Africa.  Gail is a major question answerer on some of the forums where she answers lots of SQL Server programming questions.  During this weeks episode Gail and I talk through some of the biggest problems that she sees in questions that are asked.  This includes things like BEGIN TRANSACTION, COMMIT and ROLLBACK TRANSACTION, as well as a single stored procedure that does everything, and of the biggest issues that she sees online error handling, or more specifically the lack of error handling and the improper use of error handling.

Episode 022 – Gail Shaw