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Data Podcast
Rajib Bahar, Shabnam Khan
7 episodes
4 months ago
Joe Sack is a Principal Program Manager in the Azure SQL Database and SQL Server product team at Microsoft, with a focus on the Query Processor. Joe is an author and speaker with over 20 years of experience in the industry, specializing in performance tuning, high availability and disaster recovery. Interviewer: Rajib Bahar, Shabnam Khan Agenda: RB - Your team created Adaptive Query Processing or QP. It is new in SQL Server 2017 and SQL Azure. As we know, SQL Server uses query plan internally to run tsql statements. Sometimes the plan chosen by the query optimizer is not optimal for reasons such as incorrect cardinal estimate and various other issues. What are some other pain points Adaptive QP is meant to cure? SB - Adapative QP's strength lies behind Batch mode memory grant feedback, Batch mode adaptive joins, Interleaved execution... How do they work internally? RB - What are steps to enabling QP and some best practices? Can you tell us what's in the pipe line for upcoming enhancement? SB - How do we connect with you on Social Media? Music: www.freesfx.co.uk
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Technology
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Joe Sack is a Principal Program Manager in the Azure SQL Database and SQL Server product team at Microsoft, with a focus on the Query Processor. Joe is an author and speaker with over 20 years of experience in the industry, specializing in performance tuning, high availability and disaster recovery. Interviewer: Rajib Bahar, Shabnam Khan Agenda: RB - Your team created Adaptive Query Processing or QP. It is new in SQL Server 2017 and SQL Azure. As we know, SQL Server uses query plan internally to run tsql statements. Sometimes the plan chosen by the query optimizer is not optimal for reasons such as incorrect cardinal estimate and various other issues. What are some other pain points Adaptive QP is meant to cure? SB - Adapative QP's strength lies behind Batch mode memory grant feedback, Batch mode adaptive joins, Interleaved execution... How do they work internally? RB - What are steps to enabling QP and some best practices? Can you tell us what's in the pipe line for upcoming enhancement? SB - How do we connect with you on Social Media? Music: www.freesfx.co.uk
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Technology
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Alteryx (@Alteryx) - Co-founder Libby, & product manager Nick on Gartner wins in Analytics
Data Podcast
29 minutes 49 seconds
8 years ago
Alteryx (@Alteryx) - Co-founder Libby, & product manager Nick on Gartner wins in Analytics
Libby Duane is the Chief Customer Officer and a founding partner of Alteryx. In this role, Libby is responsible for overseeing and maximizing the complete Alteryx customer experience, from engagement to on-boarding, communications, performance, and retention. She has interacted with nearly every Alteryx customer, giving her a holistic perspective of the overall experience from implementation to adoption success. Nick Jewell, Technology Evangelist for Alteryx. He started his career with a PhD in Data Science before Data Science was a sexy term! His background is in studying Chemical Information Science and got to work on some exciting data projects around drug design. He made the jump into ‘big finance’ and spent over a decade learning and developing BI, Big Data and Analytics solutions before the perfect opportunity presented itself to join Alteryx as part of their solutions team. Interviewer: Rajib Bahar, Shabnam Khan Agenda: SB - Alteryx is a platform for Self-Service Data Analytics. What is the mission and vision about it? RB - In Gartner 2017 Magic Quadrant For Data Science Platforms, Alteryx was positioned as a Challenger. Also, it's at the top of niche players in the Business Intelligence and analytics platforms. How did your organization achieve it? SB - There are studies out there on Forbes stating that the majority of time a Data Scientist spends is on preparation of Data. What advantage does Alteryx give on that regard? RB - What kind of Machine Learning or Deep Learning algorithm can Alteryx implement? Please name few of them. Is it possible to customize them to fit a specific scenario? SB - Does Alteryx designer's workflow output directly to Dashboard applications such as Tableau and PowerBI? RB- There was a major conference namely #Alteryx17 recently. We would like to learn about some inside scoop from there. How is it organized and what kind of learning opportunities are available? What kind of audience does it cater to? Techies? or Business experts? or both? SB - What kind of Alteryx learning opportunities are in Minnesota? Is there a user group? RB - How can we utilize your site to learn about Alteryx? Music: www.freesfx.co.uk
Data Podcast
Joe Sack is a Principal Program Manager in the Azure SQL Database and SQL Server product team at Microsoft, with a focus on the Query Processor. Joe is an author and speaker with over 20 years of experience in the industry, specializing in performance tuning, high availability and disaster recovery. Interviewer: Rajib Bahar, Shabnam Khan Agenda: RB - Your team created Adaptive Query Processing or QP. It is new in SQL Server 2017 and SQL Azure. As we know, SQL Server uses query plan internally to run tsql statements. Sometimes the plan chosen by the query optimizer is not optimal for reasons such as incorrect cardinal estimate and various other issues. What are some other pain points Adaptive QP is meant to cure? SB - Adapative QP's strength lies behind Batch mode memory grant feedback, Batch mode adaptive joins, Interleaved execution... How do they work internally? RB - What are steps to enabling QP and some best practices? Can you tell us what's in the pipe line for upcoming enhancement? SB - How do we connect with you on Social Media? Music: www.freesfx.co.uk