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https://www.apexsystems.com/Events/PublishingImages/Data%20Guide.pnghttps://www.apexsystems.com/Events/SiteAssets/Videos/The%20Database%20Professionals%20Guide%20to%20the%20Data%20Science%20Path%20using%20the%20Microsoft%20Data%20Platform.mp4
Level: 100-200
Abstract: If you’re a user or administrator of Microsoft data products like SQL Server, then this session will help you get on the road towards a career as a data scientist. In this session, Kevin, a veteran Microsoft Data Platform MVP and popular international speaker, will take you on a tour of Microsoft’s Team Data Science Process(TDSP), revealing Microsoft’s systematic approach to building applications which empowers teams of data scientists to collaborate effectively over the full life cycle of activities needed to turn these applications into full-fledged products. We will also explorer commonly used Microsoft products for data science, including Cortana Intelligence Suite, R Server, and utilities like Data Exploration Analytics and Reporting (IDEAR), for interactive data exploration, and Automated Modeling and Reporting tool, for Machine Learning (ML) models.
Summary: An intro into the Microsoft Team Data Science Process, the Cortana Intelligence Suite, and Machine Learning in R for the creation of a full-fledged data science solution. This curriculum overview helps a data professional to morph into a data science professional.

Speaker Bio:
Kevin Kline is a renowned database expert and software industry veteran currently serving as a principal program manager at SentryOne, a leading vendor of database tools for the Microsoft data platform. A Microsoft data platform MVP since 2003, Kevin was a founding board member and former president of PASS. He has written/co-written eleven books including the best-selling SQL in a Nutshell.  Kevin is a monthly columnist for DBTA magazine.  Kevin is a noted trainer and thought leader on IT leadership skills, data and database technology and practices, and SQL Server performance tuning and optimization.  Kevin is a top-rated speaker at conferences worldwide such as Microsoft Ignite, the PASS Summit, Oracle OpenWorld, SQLBits, and IT/Dev Connections. He tweets at @kekline.
10/17/2019 1:00 PMData; Data Science; Database
Level 100-200
Abstract If you’re a user or administrator of Microsoft data products like SQL Server then this session will help you get on the road towards a career as a data scientist In this session Kevin a veteran Microsoft Data Platform MVP and popular international speaker will take you on a tour of Microsoft’s Team Data Science ProcessTDSP revealing Microsoft’s systematic approach to building applications which empowers teams of data scientists to collaborate effectively over the full life cycle of activities needed to turn these applications into full-fledged products We will also explorer commonly used Microsoft products for data science including Cortana Intelligence Suite R Server and utilities like Data Exploration Analytics and Reporting IDEAR for interactive data exploration and Automated Modeling and Reporting tool for Machine Learning ML models
Summary An intro into the Microsoft Team Data Science Process the Cortana Intelligence Suite and Machine Learning in R for the creation of a full-fledged data science solution This curriculum overview helps a data professional to morph into a data science professional

Speaker Bio
Kevin Kline is a renowned database expert and software industry veteran currently serving as a principal program manager at SentryOne a leading vendor of database tools for the Microsoft data platform A Microsoft data platform MVP since 2003 Kevin was a founding board member and former president of PASS He has writtenco-written eleven books including the best-selling SQL in a Nutshell  Kevin is a monthly columnist for DBTA magazine  Kevin is a noted trainer and thought leader on IT leadership skills data and database technology and practices and SQL Server performance tuning and optimization  Kevin is a top-rated speaker at conferences worldwide such as Microsoft Ignite the PASS Summit Oracle OpenWorld SQLBits and ITDev Connections He tweets at @kekline
The Database Professionals Guide to the Data Science Path using the Microsoft Data Platform with Kevin Kline65 minutes
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https://www.apexsystems.com/Events/PublishingImages/Data%20Storytelling%20with%20Power%20BI.pnghttps://www.apexsystems.com/Events/SiteAssets/Videos/Data%20Storytelling%20with%20Power%20BI%20with%20Devin%20Knight-20191009%201702-1.mp4
*If you have a PMP or other PMI certification, you can claim 1 Technical PDU by logging the following: Education - Digital Media/Webinar & Activity Title: Data Storytelling with PowerBI.*

Why is it important to tell stories about your data?  Data storytelling may seem like an unusual skill to seek out but data represented in stories is far more impactful than traditional reports seen on a daily basis. Power BI is an amazing analytics tool by Microsoft that has many features designed to take your standard report to one that tells stories with your data..  This session dives deep into design patterns required for telling stories in Power BI.

About the Speaker:
Devin Knight a Microsoft Data Platform MVP and the Training Director at Pragmatic Works. He is an author of seven SQL Server and Business Intelligence books and speaks at conferences like PASS Summit, PASS Business Analytics Conference, SQL Saturdays and Code Camps. He is also a contributing member to several PASS Virtual Chapters. Making his home in Jacksonville, FL, Devin is the Vice President of the local Power BI User Group and SQL Server User Group (JSSUG).
10/9/2019 1:00 PMData; Database; Data Science
If you have a PMP or other PMI certification you can claim 1 Technical PDU by logging the following Education - Digital MediaWebinar  Activity Title Data Storytelling with PowerBI

Why is it important to tell stories about your data  Data storytelling may seem like an unusual skill to seek out but data represented in stories is far more impactful than traditional reports seen on a daily basis Power BI is an amazing analytics tool by Microsoft that has many features designed to take your standard report to one that tells stories with your data  This session dives deep into design patterns required for telling stories in Power BI

About the Speaker
Devin Knight a Microsoft Data Platform MVP and the Training Director at Pragmatic Works He is an author of seven SQL Server and Business Intelligence books and speaks at conferences like PASS Summit PASS Business Analytics Conference SQL Saturdays and Code Camps He is also a contributing member to several PASS Virtual Chapters Making his home in Jacksonville FL Devin is the Vice President of the local Power BI User Group and SQL Server User Group JSSUG
Data Storytelling with Power BI with Devin Knight - 1 Technical PDU64 minutes
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*This webinar will be worth 1 Technical PDU and CDU for those who have PMI and/or IIBA certifications until 7/17/2021!*

Why (and What) Does a BA Need to Know About Data?

Information systems are based around information or data. While not responsible for designing databases, every business analyst should be comfortable talking about data with business stakeholders, IT architects, software developers, BI professionals, UI designers, and quality assurance professionals. This presentation gives specific examples of situations where an understanding of data requirements, and how best to document them, are critical to BA success. Come learn how to ask strong questions about data which will increase the success of your projects.

Attendees will be able to:
• Recognize common situations where data requirements are critical
• Define the core components of a data model
• Improve their ability to critically review a database design
Speaker bio
About Barbara Carkenord, CBAP®, IIBA-AAC®, PMI-PBA®, PMP®, PMI-ACP®, SAFe® POPM

Throughout her career Barbara has been passionate about enabling people and organizations to succeed through analysis. Analytical thinking allows organizations to increase their process efficiency and improve the quality of their products. Beginning her career in software development, early assignments allowed her to design systems which streamlined employee processes, increased the quality of information, and improved customer relationships.
Barbara is a leader in the business analysis profession providing training and consulting to help companies improve their analysis maturity, consistency, and effectiveness. She combines her entrepreneurial and business analysis experience with her love of education to promote the development of the business analysis practice. During her career Barbara co-founded two successful companies and worked in varied industries including manufacturing, financial services, real estate, and software development. She has written numerous books, articles, blogs, and training manuals all aimed at helping professionals enhance their skills including Seven Steps to Mastering Business Analysis.
Barbara’s focus on critical thinking and increasing business value drove her to help define the business analysis profession. As an early IIBA Member, she worked on the development of the worldwide standard for business analysis, the BABOK® Guide.
7/17/2019 1:00 PMBusiness Analysis; Data; Data Science; Database; Project ManagementBusiness Analysis
This webinar will be worth 1 Technical PDU and CDU for those who have PMI andor IIBA certifications until 7172021

Why and What Does a BA Need to Know About Data

Information systems are based around information or data While not responsible for designing databases every business analyst should be comfortable talking about data with business stakeholders IT architects software developers BI professionals UI designers and quality assurance professionals This presentation gives specific examples of situations where an understanding of data requirements and how best to document them are critical to BA success Come learn how to ask strong questions about data which will increase the success of your projects

Attendees will be able to
• Recognize common situations where data requirements are critical
• Define the core components of a data model
• Improve their ability to critically review a database design
Speaker bio
About Barbara Carkenord CBAP® IIBA-AAC® PMI-PBA® PMP® PMI-ACP® SAFe® POPM

Throughout her career Barbara has been passionate about enabling people and organizations to succeed through analysis Analytical thinking allows organizations to increase their process efficiency and improve the quality of their products Beginning her career in software development early assignments allowed her to design systems which streamlined employee processes increased the quality of information and improved customer relationships
Barbara is a leader in the business analysis profession providing training and consulting to help companies improve their analysis maturity consistency and effectiveness She combines her entrepreneurial and business analysis experience with her love of education to promote the development of the business analysis practice During her career Barbara co-founded two successful companies and worked in varied industries including manufacturing financial services real estate and software development She has written numerous books articles blogs and training manuals all aimed at helping professionals enhance their skills including Seven Steps to Mastering Business Analysis
Barbara’s focus on critical thinking and increasing business value drove her to help define the business analysis profession As an early IIBA Member she worked on the development of the worldwide standard for business analysis the BABOK® Guide
Why and What Does a BA Need to Know About Data with Barbara Carkenord - 1 Technical PDU and CDU62 minutes
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*For anyone with a PMP or other PMI certification, you can self-report 1 Technical PDU by selecting 'Digital Media/Webinar' for Education and 'AI Product Development' for Activity Title.*

Every year companies pour billions of dollars of investment into expensive data technologies and data scientists in hopes of gaining a competitive edge with AI. However, for some companies the AI roadmap is slow to materialize. This is because algorithms and data is only one piece of the AI product puzzle. To accelerate AI product development, companies must have the right team, the right org structure and the right leadership.
This webinar focuses on:
1. How to structure an AI team (roles to include, what order to hire in, etc.) - first 20-25 minutes
2. The top 6 roadblocks that block AI product success - 25-45 minutes
3. Specific use cases for chatbots - last 15 minutes

Jaekob Chenina is an AI product manager for Oracle. Prior, he as an AI product manager for Adobe, where he put artificial intelligence in the center of customer experience. Previously, Jaekob co-founded social media visitor stitching startup Socyalitics.AI where he led product development efforts from ideation to external beta release with enterprise clients including Microsoft and Deloitte Digital. Earlier in his career, he worked as a product manager for Bay Area fin-tech startup Nav Inc. with a focus on infusing artificial intelligence into the product.
5/13/2019 1:00 PMArtificial Intelligence (AI)
For anyone with a PMP or other PMI certification you can self-report 1 Technical PDU by selecting Digital MediaWebinar for Education and AI Product Development for Activity Title

Every year companies pour billions of dollars of investment into expensive data technologies and data scientists in hopes of gaining a competitive edge with AI However for some companies the AI roadmap is slow to materialize This is because algorithms and data is only one piece of the AI product puzzle To accelerate AI product development companies must have the right team the right org structure and the right leadership
This webinar focuses on
1 How to structure an AI team roles to include what order to hire in etc - first 20-25 minutes
2 The top 6 roadblocks that block AI product success - 25-45 minutes
3 Specific use cases for chatbots - last 15 minutes

Jaekob Chenina is an AI product manager for Oracle Prior he as an AI product manager for Adobe where he put artificial intelligence in the center of customer experience Previously Jaekob co-founded social media visitor stitching startup SocyaliticsAI where he led product development efforts from ideation to external beta release with enterprise clients including Microsoft and Deloitte Digital Earlier in his career he worked as a product manager for Bay Area fin-tech startup Nav Inc with a focus on infusing artificial intelligence into the product
AI Product Development with Jaekob Chenina chatbot use cases - 1 Technical PDU60 minutes
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Node.js provides many different options for hitting a variety of databases. If you’re working with a NoSQL database such as MongoDB you can use packages like mongoose to select and manipulate data. In this session we’ll examine some of the different options available and discuss how you can get started using mongoose in your Node apps to call MongoDB and work with data.

Bio:
Dan Wahlin founded Wahlin Consulting (https://codewithdan.com) which provides training, consulting and architecture services on Web technologies such as Angular, Node.js, Express, JavaScript, TypeScript, C#, ASP.NET Core, Web API, Microservices, and Docker. He’s also published many developer courses on Pluralsight.com and Udemy.com. Dan is a Docker Captain, Google GDE, Microsoft MVP and Regional Director and speaks at conferences and user groups around the world.  Dan has written several books on Web technologies, hundreds of technical articles and blog posts (https://blog.codewithdan.com) and runs the "Code with Dan Web Development Newsletter" - a great way to stay up on the latest technologies. Follow Dan on Twitter @DanWahlin.
5/10/2019 1:00 PMData; Programming
Nodejs provides many different options for hitting a variety of databases If you’re working with a NoSQL database such as MongoDB you can use packages like mongoose to select and manipulate data In this session we’ll examine some of the different options available and discuss how you can get started using mongoose in your Node apps to call MongoDB and work with data

Bio
Dan Wahlin founded Wahlin Consulting httpscodewithdancom which provides training consulting and architecture services on Web technologies such as Angular Nodejs Express JavaScript TypeScript C ASPNET Core Web API Microservices and Docker He’s also published many developer courses on Pluralsightcom and Udemycom Dan is a Docker Captain Google GDE Microsoft MVP and Regional Director and speaks at conferences and user groups around the world  Dan has written several books on Web technologies hundreds of technical articles and blog posts httpsblogcodewithdancom and runs the Code with Dan Web Development Newsletter - a great way to stay up on the latest technologies Follow Dan on Twitter @DanWahlin
Using Nodejs Mongoose and MongoDb with Dan Wahlin62 minutes
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https://www.apexsystems.com/Events/PublishingImages/KirkBorne.pnghttps://www.apexsystems.com/Events/SiteAssets/Videos/The%20Journey%20to%20Data%20Science%20Maturity%20-%20Sailing%20the%20Seven%20C's-20190110%201801-1.mp4
*If you have a PMP or other PMI certification, you can claim 1 Technical PDU by logging the following: Education - Digital Media/Webinar & Activity Title: Data Science Maturity.*

This webinar will look at the importance of aptitudes and attitudes as indicators and prerequisites for a successful data science career. We will not focus much on technical skills, since (as some experts say) skills can be taught, but aptitudes and passion are either natural characteristics within the individual or else dispositions to success that are inspired by leaders and teachers. The "seven C's" is a reference to the "seven seas" that have inspired explorers, scientists, and other humans for centuries to embark on many voyages of discovery. Similarly, data scientists explore vast and endless seas of data for new insights, new knowledge, and new understanding. The "seven C's" also refer to the seven (actually, 12) qualities (aptitudes and attitudes) of successful data scientists, all of which begin with the letter "C", including curious, creative, continuous life-long learner, plus other core characteristics! Join the webinar to learn more. Come for the data. Stay for the science.

Bio: Dr. Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton based in McLean, Virginia. In those roles, he focuses on applications of data science, data management, machine learning, machine intelligence, modeling, and simulation across a wide variety of disciplines. He also provides leadership and mentoring to multi-disciplinary teams of scientists, modelers, and data scientists. In addition, he consults with numerous external organizations, industries, agencies, and partners in the use of large data repositories and machine learning for discovery, decision support, and innovation. Previously, he was Professor of Astrophysics and Computational Science at George Mason University for 12 years where he did research, taught, and advised students in data science. Prior to that, Kirk spent nearly 20 years supporting data systems activities on NASA space science programs, including a role as NASA's Data Archive Project Scientist for the Hubble Space Telescope and a term as contract Program Manager in NASA's Space Science Data Operations Office. Dr. Borne has a B.S. degree Summa Cum Laude in Physics from LSU, and a Ph.D. in Astronomy from Caltech. In 2016 he was elected Fellow of the International Astrostatistics Association for his lifelong contributions to big data research in astronomy. He has presented invited keynote presentations at many dozens of data science and analytics conferences globally. He is an active contributor on social media, where he has been named consistently among the top worldwide influencers in big data and data science since 2013. You can follow him on Twitter at @KirkDBorne.
1/10/2019 1:00 PMData; Data Science
If you have a PMP or other PMI certification you can claim 1 Technical PDU by logging the following Education - Digital MediaWebinar  Activity Title Data Science Maturity

This webinar will look at the importance of aptitudes and attitudes as indicators and prerequisites for a successful data science career We will not focus much on technical skills since as some experts say skills can be taught but aptitudes and passion are either natural characteristics within the individual or else dispositions to success that are inspired by leaders and teachers The seven Cs is a reference to the seven seas that have inspired explorers scientists and other humans for centuries to embark on many voyages of discovery Similarly data scientists explore vast and endless seas of data for new insights new knowledge and new understanding The seven Cs also refer to the seven actually 12 qualities aptitudes and attitudes of successful data scientists all of which begin with the letter C including curious creative continuous life-long learner plus other core characteristics Join the webinar to learn more Come for the data Stay for the science

Bio Dr Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton based in McLean Virginia In those roles he focuses on applications of data science data management machine learning machine intelligence modeling and simulation across a wide variety of disciplines He also provides leadership and mentoring to multi-disciplinary teams of scientists modelers and data scientists In addition he consults with numerous external organizations industries agencies and partners in the use of large data repositories and machine learning for discovery decision support and innovation Previously he was Professor of Astrophysics and Computational Science at George Mason University for 12 years where he did research taught and advised students in data science Prior to that Kirk spent nearly 20 years supporting data systems activities on NASA space science programs including a role as NASAs Data Archive Project Scientist for the Hubble Space Telescope and a term as contract Program Manager in NASAs Space Science Data Operations Office Dr Borne has a BS degree Summa Cum Laude in Physics from LSU and a PhD in Astronomy from Caltech In 2016 he was elected Fellow of the International Astrostatistics Association for his lifelong contributions to big data research in astronomy He has presented invited keynote presentations at many dozens of data science and analytics conferences globally He is an active contributor on social media where he has been named consistently among the top worldwide influencers in big data and data science since 2013 You can follow him on Twitter at @KirkDBorne
The Journey to Data Science Maturity - Sailing the Seven Cs with Kirk Borne - 1 Technical PDU67 minutes
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https://www.apexsystems.com/Events/PublishingImages/cognitive%20analytics-kirk%20born-360x360.pnghttps://www.apexsystems.com/Events/SiteAssets/Videos/Cognitive%20Analytics%20--%20Beyond%20Information%20Mining%20to%20Insight%20Mining%20from%20Big%20Data%20with%20Kirk%20Borne-20180919%201701-1.mp4
Summary: summarizes the 5 levels of analytics maturity in organizations and how to derive insights from them: Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive

Bio: Dr. Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton based in McLean, Virginia. In those roles, he focuses on applications of data science, data management, machine learning, machine intelligence, modeling, and simulation across a wide variety of disciplines. He also provides leadership and mentoring to multi-disciplinary teams of scientists, modelers, and data scientists. In addition, he consults with numerous external organizations, industries, agencies, and partners in the use of large data repositories and machine learning for discovery, decision support, and innovation. Previously, he was Professor of Astrophysics and Computational Science at George Mason University for 12 years where he did research, taught, and advised students in data science. Prior to that, Kirk spent nearly 20 years supporting data systems activities on NASA space science programs, including a role as NASA's Data Archive Project Scientist for the Hubble Space Telescope and a term as contract Program Manager in NASA's Space Science Data Operations Office. Dr. Borne has a B.S. degree Summa Cum Laude in Physics from LSU, and a Ph.D. in Astronomy from Caltech. In 2016 he was elected Fellow of the International Astrostatistics Association for his lifelong contributions to big data research in astronomy. He has presented invited keynote presentations at many dozens of data science and analytics conferences globally. He is an active contributor on social media, where he has been named consistently among the top worldwide influencers in big data and data science since 2013. You can follow him on Twitter at @KirkDBorne.
9/19/2018 1:00 PMArtificial Intelligence (AI); Business Intelligence; Data; Data Science; Digital
Summary summarizes the 5 levels of analytics maturity in organizations and how to derive insights from them Descriptive Diagnostic Predictive Prescriptive Cognitive

Bio Dr Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton based in McLean Virginia In those roles he focuses on applications of data science data management machine learning machine intelligence modeling and simulation across a wide variety of disciplines He also provides leadership and mentoring to multi-disciplinary teams of scientists modelers and data scientists In addition he consults with numerous external organizations industries agencies and partners in the use of large data repositories and machine learning for discovery decision support and innovation Previously he was Professor of Astrophysics and Computational Science at George Mason University for 12 years where he did research taught and advised students in data science Prior to that Kirk spent nearly 20 years supporting data systems activities on NASA space science programs including a role as NASAs Data Archive Project Scientist for the Hubble Space Telescope and a term as contract Program Manager in NASAs Space Science Data Operations Office Dr Borne has a BS degree Summa Cum Laude in Physics from LSU and a PhD in Astronomy from Caltech In 2016 he was elected Fellow of the International Astrostatistics Association for his lifelong contributions to big data research in astronomy He has presented invited keynote presentations at many dozens of data science and analytics conferences globally He is an active contributor on social media where he has been named consistently among the top worldwide influencers in big data and data science since 2013 You can follow him on Twitter at @KirkDBorne
Cognitive Analytics -- Beyond Information Mining to Insight Mining from Big Data with Kirk Borne72 minutes
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https://www.apexsystems.com/Events/PublishingImages/clusteringtechniques-kirk%20born-360x360.pnghttps://www.apexsystems.com/Events/SiteAssets/Videos/Clustering%20Techniques%20and%20Applications%20--%20From%20Validation%20to%20Value%20with%20Kirk%20Borne-20180914%201701-1.mp4
Summary: illustrates the power of one particular type of machine learning and data science -- clustering -- to bring value to organizations, including customer personalization and pattern discovery in big data

Bio:
Dr. Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton based in McLean, Virginia. In those roles, he focuses on applications of data science, data management, machine learning, machine intelligence, modeling, and simulation across a wide variety of disciplines. He also provides leadership and mentoring to multi-disciplinary teams of scientists, modelers, and data scientists. In addition, he consults with numerous external organizations, industries, agencies, and partners in the use of large data repositories and machine learning for discovery, decision support, and innovation. Previously, he was Professor of Astrophysics and Computational Science at George Mason University for 12 years where he did research, taught, and advised students in data science. Prior to that, Kirk spent nearly 20 years supporting data systems activities on NASA space science programs, including a role as NASA's Data Archive Project Scientist for the Hubble Space Telescope and a term as contract Program Manager in NASA's Space Science Data Operations Office. Dr. Borne has a B.S. degree Summa Cum Laude in Physics from LSU, and a Ph.D. in Astronomy from Caltech. In 2016 he was elected Fellow of the International Astrostatistics Association for his lifelong contributions to big data research in astronomy. He has presented invited keynote presentations at many dozens of data science and analytics conferences globally. He is an active contributor on social media, where he has been named consistently among the top worldwide influencers in big data and data science since 2013. You can follow him on Twitter at @KirkDBorne.
9/14/2018 1:00 PMArtificial Intelligence (AI); Data; Data Science
Summary illustrates the power of one particular type of machine learning and data science -- clustering -- to bring value to organizations including customer personalization and pattern discovery in big data

Bio
Dr Kirk Borne is the Principal Data Scientist and an Executive Advisor at global technology and consulting firm Booz Allen Hamilton based in McLean Virginia In those roles he focuses on applications of data science data management machine learning machine intelligence modeling and simulation across a wide variety of disciplines He also provides leadership and mentoring to multi-disciplinary teams of scientists modelers and data scientists In addition he consults with numerous external organizations industries agencies and partners in the use of large data repositories and machine learning for discovery decision support and innovation Previously he was Professor of Astrophysics and Computational Science at George Mason University for 12 years where he did research taught and advised students in data science Prior to that Kirk spent nearly 20 years supporting data systems activities on NASA space science programs including a role as NASAs Data Archive Project Scientist for the Hubble Space Telescope and a term as contract Program Manager in NASAs Space Science Data Operations Office Dr Borne has a BS degree Summa Cum Laude in Physics from LSU and a PhD in Astronomy from Caltech In 2016 he was elected Fellow of the International Astrostatistics Association for his lifelong contributions to big data research in astronomy He has presented invited keynote presentations at many dozens of data science and analytics conferences globally He is an active contributor on social media where he has been named consistently among the top worldwide influencers in big data and data science since 2013 You can follow him on Twitter at @KirkDBorne
Clustering Techniques and Applications -- From Validation to Value with Kirk Borne 71 minutes
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https://www.apexsystems.com/Events/PublishingImages/Performance%20Troubleshooting%20the%20SQL%20Server%20Engine-%20360x360.pnghttps://www.apexsystems.com/Events/SiteAssets/Videos/Performance%20Troubleshooting%20the%20SQL%20Server%20Engine%20-20171129%201801-1.mp4
Title: End-to-End Troubleshooting for SQL Server
Alias: FIRE! A Fullproof Checklist for Tuning and Troubleshooting

Level: 300

Abstract: Learning how to detect, diagnose and resolve performance problems in SQL Server is tough.  Often, years are spent learning how to use the tools and techniques that help you detect when a problem is occurring, diagnose the root-cause of the problem, and then resolve the problem. 

In this session, attendees will see demonstrations of the tools and techniques which make difficult troubleshooting scenarios much faster and easier, including:

• XEvents, Profiler/Traces, and PerfMon
• Using Dynamic Management Views (DMVs)
• Advanced Diagnostics Using Wait Stats
• Reading SQL Server execution plan

Every DBA needs to know how to keep their SQL Server in tip-top condition, and you’ll need skills the covered in this session to do it.

Prerequisites: Intermediate database administration and development skills, especially competence with SSMS.

Goal 1: Learn the "sieve" method of troubleshooting and problem solving, and how to make SQL Server alert you when problems arise.
Goal 2: Discover how to use wait stat analysis, as well as correlate performance information from other sources inside of SQL Server including DMVs, performance counters, and Xevent/trace information.
Goal 3: Learn how to use the most important native tools within SQL Server through live demos to successfully conduct troubleshooting and performance tuning.

Summary: Microsoft ships a multitude of tools to help detect, diagnose and resolve problems inside of SQL Server. But which is best to use and when? This session teaches attendees how to tackle the troubleshooting process to achieve repeated, optimal results.

Speaker Bio:
Kevin Kline is a renowned database expert and software industry veteran currently serving as a principal program manager at SentryOne, a leading vendor of database tools for the Microsoft data platform. A Microsoft data platform MVP since 2003, Kevin was a founding board member and former president of PASS. He has written/co-written eleven books including the best-selling SQL in a Nutshell.  Kevin is a monthly columnist for DBTA magazine.  Kevin is a noted trainer and thought leader on IT leadership skills, data and database technology and practices, and SQL Server performance tuning and optimization.  Kevin is a top-rated speaker at conferences worldwide such as Microsoft Ignite, the PASS Summit, Oracle OpenWorld, SQLBits, and IT/Dev Connections. He tweets at @kekline.
11/29/2017 1:00 PMData; Database; Infrastructure
Title End-to-End Troubleshooting for SQL Server
Alias FIRE A Fullproof Checklist for Tuning and Troubleshooting

Level 300

Abstract Learning how to detect diagnose and resolve performance problems in SQL Server is tough  Often years are spent learning how to use the tools and techniques that help you detect when a problem is occurring diagnose the root-cause of the problem and then resolve the problem 

In this session attendees will see demonstrations of the tools and techniques which make difficult troubleshooting scenarios much faster and easier including

• XEvents ProfilerTraces and PerfMon
• Using Dynamic Management Views DMVs
• Advanced Diagnostics Using Wait Stats
• Reading SQL Server execution plan

Every DBA needs to know how to keep their SQL Server in tip-top condition and you’ll need skills the covered in this session to do it

Prerequisites Intermediate database administration and development skills especially competence with SSMS

Goal 1 Learn the sieve method of troubleshooting and problem solving and how to make SQL Server alert you when problems arise
Goal 2 Discover how to use wait stat analysis as well as correlate performance information from other sources inside of SQL Server including DMVs performance counters and Xeventtrace information
Goal 3 Learn how to use the most important native tools within SQL Server through live demos to successfully conduct troubleshooting and performance tuning

Summary Microsoft ships a multitude of tools to help detect diagnose and resolve problems inside of SQL Server But which is best to use and when This session teaches attendees how to tackle the troubleshooting process to achieve repeated optimal results

Speaker Bio
Kevin Kline is a renowned database expert and software industry veteran currently serving as a principal program manager at SentryOne a leading vendor of database tools for the Microsoft data platform A Microsoft data platform MVP since 2003 Kevin was a founding board member and former president of PASS He has writtenco-written eleven books including the best-selling SQL in a Nutshell  Kevin is a monthly columnist for DBTA magazine  Kevin is a noted trainer and thought leader on IT leadership skills data and database technology and practices and SQL Server performance tuning and optimization  Kevin is a top-rated speaker at conferences worldwide such as Microsoft Ignite the PASS Summit Oracle OpenWorld SQLBits and ITDev Connections He tweets at @kekline
End-to-End Troubleshooting for SQL Server with Kevin Kline72 minutes
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Abstract:
Let’s face it.  You can effectively do many IT jobs related to SQL Server without knowing the internals of how SQL Server works.  Many great developers, DBAs, and designers get their day-to-day work completed on time and with reasonable quality while never really knowing what’s happening behind the scenes.  But if you want to take your skills to the next level, it’s critical to know SQL Server’s internal processes and architecture.  This session will answer questions like:
- What are the various areas of memory inside of SQL Server?
- How are queries handled behind the scenes?
- What does SQL Server do with procedural code, like functions, procedures, and triggers?
- What happens during checkpoints?  Lazywrites?
- How are IOs handled with regards to transaction logs and database?
- What happens when transaction logs and databases grow or shrinks?

This fast paced session will take you through many aspects of the internal operations of SQL Server and, for those topics we don’t cover, will point you to resources where you can get more information.  So strap on your silly, as we cover all these topics and more at speed with tongue planted firmly in cheek!

Prerequisites: Basic understanding of SQL Server operations and activities – such as transactions, queries, and preventative maintenance tasks like backup and recovery.

Goal 1: Learn about the major components within the SQL Server architecture, starting with the relational engine and storage engine, working down to greater and greater detail.

Goal 2: See what happens inside the SQL Server query optimizer and how the query optimizer affects transaction execution time, both read-only and read-write transactions

Goal 3: Review the major operational processes inside of SQL Server that affect memory management and IO activity.

Speaker Bio:
Kevin Kline is a renowned database expert and software industry veteran currently serving as a principal program manager at SentryOne, a leading vendor of database tools for the Microsoft data platform. A Microsoft data platform MVP since 2003, Kevin was a founding board member and former president of PASS. He has written/co-written eleven books including the best-selling SQL in a Nutshell.  Kevin is a monthly columnist for DBTA magazine.  Kevin is a noted trainer and thought leader on IT leadership skills, data and database technology and practices, and SQL Server performance tuning and optimization.  Kevin is a top-rated speaker at conferences worldwide such as Microsoft Ignite, the PASS Summit, Oracle OpenWorld, SQLBits, and IT/Dev Connections. He tweets at @kekline.
10/3/2017 1:00 PMData; Database; Programming
Abstract
Let’s face it  You can effectively do many IT jobs related to SQL Server without knowing the internals of how SQL Server works  Many great developers DBAs and designers get their day-to-day work completed on time and with reasonable quality while never really knowing what’s happening behind the scenes  But if you want to take your skills to the next level it’s critical to know SQL Server’s internal processes and architecture  This session will answer questions like
- What are the various areas of memory inside of SQL Server
- How are queries handled behind the scenes
- What does SQL Server do with procedural code like functions procedures and triggers
- What happens during checkpoints  Lazywrites
- How are IOs handled with regards to transaction logs and database
- What happens when transaction logs and databases grow or shrinks

This fast paced session will take you through many aspects of the internal operations of SQL Server and for those topics we don’t cover will point you to resources where you can get more information  So strap on your silly as we cover all these topics and more at speed with tongue planted firmly in cheek

Prerequisites Basic understanding of SQL Server operations and activities – such as transactions queries and preventative maintenance tasks like backup and recovery

Goal 1 Learn about the major components within the SQL Server architecture starting with the relational engine and storage engine working down to greater and greater detail

Goal 2 See what happens inside the SQL Server query optimizer and how the query optimizer affects transaction execution time both read-only and read-write transactions

Goal 3 Review the major operational processes inside of SQL Server that affect memory management and IO activity

Speaker Bio
Kevin Kline is a renowned database expert and software industry veteran currently serving as a principal program manager at SentryOne a leading vendor of database tools for the Microsoft data platform A Microsoft data platform MVP since 2003 Kevin was a founding board member and former president of PASS He has writtenco-written eleven books including the best-selling SQL in a Nutshell  Kevin is a monthly columnist for DBTA magazine  Kevin is a noted trainer and thought leader on IT leadership skills data and database technology and practices and SQL Server performance tuning and optimization  Kevin is a top-rated speaker at conferences worldwide such as Microsoft Ignite the PASS Summit Oracle OpenWorld SQLBits and ITDev Connections He tweets at @kekline
Discover SQL Server’s Internals  Architecture with Kevin Kline70 minutes
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For most companies data-driven marketing is nothing more than tracking consumers who visit their website and responding with personalized email. The result is an endless stream of outbound emails, low response rates and eventual discounts. But today’s best digital operators are using a series of analysis to uncover ideal consumers and ideal behaviors that can be combined to maximize conversion rates, market basket value and customer lifetime value. Learn how analysis such as personality, like-kind, pattern and taxonomy can be layered to create a digital marketing program designed to increase market penetration, open new market segments and create a sales pipeline.

Speaker Bio:
David Giannetto is the author of three books, including the newly released Big Social Mobile, How Digital Initiatives can Reshape the Enterprise and Drive Business Results. He has been named a thought-leader by the American Management Association, Business Finance Magazine and Consumer Goods Technology Magazine. He writes for the AMA and the Huffington Post, and is a columnist for Strictly Marketing Magazine. As SVP of Astea International helps some of today’s leading companies connect more closely and create superior service interactions with their customers. Learn more about David via his website at www.giannetto.com and follow on Twitter via @dgiannetto.
10/5/2016 1:00 PMDigital
For most companies data-driven marketing is nothing more than tracking consumers who visit their website and responding with personalized email The result is an endless stream of outbound emails low response rates and eventual discounts But today’s best digital operators are using a series of analysis to uncover ideal consumers and ideal behaviors that can be combined to maximize conversion rates market basket value and customer lifetime value Learn how analysis such as personality like-kind pattern and taxonomy can be layered to create a digital marketing program designed to increase market penetration open new market segments and create a sales pipeline

Speaker Bio
David Giannetto is the author of three books including the newly released Big Social Mobile How Digital Initiatives can Reshape the Enterprise and Drive Business Results He has been named a thought-leader by the American Management Association Business Finance Magazine and Consumer Goods Technology Magazine He writes for the AMA and the Huffington Post and is a columnist for Strictly Marketing Magazine As SVP of Astea International helps some of today’s leading companies connect more closely and create superior service interactions with their customers Learn more about David via his website at wwwgiannettocom and follow on Twitter via @dgiannetto
Using Layered Analytics to Drive Growth and Profitability with David Giannetto  Digital Marketing 60 minutes