Podcast appearances and mentions of buck woody

Artificial Intelligence, or AI, is a term that's synonymous with the world of data. From data inputs that have driven the growth of AI, to the modern applications that can be applied to data models to accelerate time to insights, AI is at the forefront of innovation. But, that hasn't always been the case. Today we're in the midst of a renewed "AI Spring" where we're seeing a resurgence in development and new possibilities we never thought imaginable. In this episode you'll learn: The power of investors when it comes to the future of AI When the first discussions of artificial intelligence started The history behind the “AI Winters.” Some questions we ask: What do you think the future of AI is? How does data mining play a part in the creation of current AI? Is AI actually intelligent, or does it just have a lot of information? Guest bio Buck Woody is an Applied Data Scientist on the Azure Data Services team at Microsoft and uses data and technology to solve business and science problems. With over 39 years of professional and practical experience in computer technology, he is also a popular speaker at conferences around the world; the author of over 700 articles and nine books on databases and machine learning, and sits on various Data Science Boards at two US Universities and specializes in advanced data analysis techniques. Resources: View Buck Woody on LinkedIn View Patrick LeBlanc on LinkedIn Discover and follow other Microsoft podcasts at microsoft.com/podcasts Hosted on Acast. See acast.com/privacy for more information.

In Las Vegas, once again, this is the Q&A session from the SQL Server & Azure SQL Conference in April 2022. Richard moderated questions and answers from SQL luminaries, including Bob Ward, Buck Woody, Pam Lahoud, Bradley Ball, Des Fitzgerald, Davide Mauri, Rie Merritt, and Kevin Farlee. The conversation ranges over Azure SQL migration, new features in SQL Server 2022, challenges in scaling, reliability, disaster recovery, and more!Links:SQL Server and Azure SQL ConferenceRecorded April 7, 2022

Back in Las Vegas and in person, this is the Q&A session from the SQL Server & Azure SQL Conference in December 2021.Bob Ward, Anna Hoffman, Buck Woody, Bradley Ball, Tim Chapman, Pedro Lopes, and a host of other great SQL speakers fielded questions from an audience of database professionals and developers - and the questions are wide-ranging! Links:SQL Server and Azure SQL Conference

This week, Jeffrey is joined by Buck Woody, Applied Data Scientist working on the Azure Data Services team at Microsoft. Buck has over 39 years of professional and practical experience in computer technology and is also a globally sought-after speaker and author.   In this jam-packed episode, Buck talks about his passion for data and why it's important to recognize that data is the central part of anything, which means keeping people employed. He talks about his role in machine learning and AI in Microsoft, and why we have to be extra careful when letting machines make the final call, why data science is useful, and the difference between business intelligence and data science. Buck shares the number one thing he feels developers need to know, and a few free resources that you can use to expand your knowledge and skills.   Topics of Discussion: [2:00] Jeffrey welcomes Buck and gives a quick overview of his background and how he got into data and security. Buck has worked with many top companies including IBM, NASA, and started at Microsoft about 16 years ago.  [5:00] Jeffrey joined the Red Dog team, which was the early part of Azure. [6:12] What was working in tech and AI back in the 1970s, compared to today? [9:48] How do we take some of the AI technology for granted? [10:04] What is data mining? [15:00] What does Buck feel is the number one thing a developer needs to understand about data and effective queries? [20:44] What is Buck's definition of Big Data? [22:46] What is the difference between business intelligence and the idea around data science? [24:25] What is the number one question Buck asks when someone tells him they want artificial intelligence? [25:47] Why don't you need business intelligence to do data science? [26:03] What is the age-old practice of ETL? [27:12] What is source data poisoning, and how does it affect our algorithms? [30:31] It is important for AI to augment human reasoning. Buck and Jeffrey talk about the example of recognizing red vs. green lights. [34:20] Jeffrey and Buck explore the construct of Excel Flash Fill. [37:02] What are the go-to tools that developers should be installing? What are some free Microsoft resources, and what are Cognitive Services?   Mentioned in this Episode: Architect Tips — New video podcast! Azure DevOps Clear Measure (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! bit.ly/dotnetdevopsebook — Click here to download the .NET DevOps for Azure ebook! Jeffrey Palermo's YouTube Jeffrey Palermo's Twitter — Follow to stay informed about future events! Buck Woody: Twitter | LinkedIn Using Excel Flash Fill Microsoft AI School Azure Cognitive Services Microsoft Tech Community Data Architecture Star Trek Anna Hoffman   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Looking for the next Microsoft Learn modules to complete? Bob Ward, Buck Woody, and Anna Hoffman give you a run-down of Microsoft Learn, the learning paths they've launched, and the two new Microsoft Learn modules - Azure SQL IoT and Azure Arc-enabled data services - they've been working on that are now live. Start learning today![00:33] Introductions[00:52] SQL Workshops[02:05] About Microsoft Learn[02:38] Microsoft Learning Path - Build serverless, full stack applications in Azure[03:28] Microsoft Learning Path - Azure SQL Fundamentals[05:11] Microsoft Learn Module - Introduction to Azure Arc-enabled data services[07:26] Microsoft Learning Path - Azure Arc[08:33] Microsoft Learning Module - Deploy IoT Solutions with Azure SQL Database[09:43] Getting startedResources:Microsoft LearnSQL Server and Azure SQL Labs and WorkshopsMicrosoft Learning Path - Build serverless, full stack applications in AzureMicrosoft Learning Path - Azure SQL FundamentalsMicrosoft Learn Module - Introduction to Azure Arc-enabled data servicesMicrosoft Learning Path - Manage hybrid infrastructure with Azure ArcMicrosoft Learning Module - Deploy IoT Solutions with Azure SQL DatabaseAzure Arc Jumpstart

Looking for the next Microsoft Learn modules to complete? Bob Ward, Buck Woody, and Anna Hoffman give you a run-down of Microsoft Learn, the learning paths they've launched, and the two new Microsoft Learn modules - Azure SQL IoT and Azure Arc-enabled data services - they've been working on that are now live. Start learning today![00:33] Introductions[00:52] SQL Workshops[02:05] About Microsoft Learn[02:38] Microsoft Learning Path - Build serverless, full stack applications in Azure[03:28] Microsoft Learning Path - Azure SQL Fundamentals[05:11] Microsoft Learn Module - Introduction to Azure Arc-enabled data services[07:26] Microsoft Learning Path - Azure Arc[08:33] Microsoft Learning Module - Deploy IoT Solutions with Azure SQL Database[09:43] Getting startedResources:Microsoft LearnSQL Server and Azure SQL Labs and WorkshopsMicrosoft Learning Path - Build serverless, full stack applications in AzureMicrosoft Learning Path - Azure SQL FundamentalsMicrosoft Learn Module - Introduction to Azure Arc-enabled data servicesMicrosoft Learning Path - Manage hybrid infrastructure with Azure ArcMicrosoft Learning Module - Deploy IoT Solutions with Azure SQL DatabaseAzure Arc Jumpstart

The SQL Server & AzureSQL Conference is BACK!  After more a year away, the SQL Server & AzureSQL conference happened in Orlando in June 2021. And that means a SQL Question and Answers session at the end of the show.  Bob Ward, Anna Hoffman, Buck Woody, David Pless, and many other great speakers answered questions from the attendees of the conference both in-person and online.  Topics ranged over migrating to AzureSQL, securing data effectively, failover strategies, keeping up with the endless stream of new technologies coming, and much more!  Recorded June 10, 2021

Geeks on Screens with Coffee Episode 51 - The Buck Woody show... Look who I bumped into at the water cooler/tea room/corridor? It's only Buck Woody (@BuckWoodyMSFT) Finally, after months on contract negotiation... I have the legend that is 'The Buck Woody' ... Its going to be a roller coaster..... Bio: Buck Woody works as an Applied Data Scientist at Microsoft on the Azure Data Team, and uses data and technology to solve business and science problems. With over 35 years of professional and practical experience in computer technology, he is also a popular speaker at many conferences around the world; the author of over 700 articles and eight books on databases, machine learning, and R; teaches and sits on the Data Science Board at the University of Washington, and specializes in data analysis techniques. I must dash, the kettle has almost boiled. Love you!

Join Anna Hoffman and Buck Woody as they take a tour of the incredible learning resource the Microsoft Engineering team has put together. From labs to full hands-on workshops and much more, you'll find a wealth of high-quality, free-cost training. You'll also learn about many of the other valuable references and assets you can find at SQL Workshops. To get started with SQL Workshops, click here. [01:05] What is SQL Workshops[02:41] Walking through SQL Workshops

Join Anna Hoffman and Buck Woody as they take a tour of the incredible learning resource the Microsoft Engineering team has put together. From labs to full hands-on workshops and much more, you'll find a wealth of high-quality, free-cost training. You'll also learn about many of the other valuable references and assets you can find at SQL Workshops. To get started with SQL Workshops, click here. [01:05] What is SQL Workshops[02:41] Walking through SQL Workshops

In this episode, Frank and Andy talk with the legendary Bob Ward. Links (http://thedatadrivenbook.com) Sponsor: Audible.com (http://thedatadrivenbook.com) - Get a free audio book when you sign up for a free trial! Notable QuotesOn playing the "plague or pollen" game. (02:30) Regarding sportsball... (05:30) Virtual is the new norm. (06:30) Bob and Azure (07:30) Frank caught Bob in person at Microsoft Ready (08:15) On sharing code...(9:30) Bob on SQL Server 2019 Big Data Clusters (11:00) ... and PolyBase (12:30) "Keep the data where it lives, access it through the language you're familiar with." - Bob on PolyBase (13:48) Regarding Synapse (14:48) ...even for AS/400... (18:20) PolyBase as an incremental migration strategy... (19:30) COBOL, and more COBOL, and Y2K (20:30) "Buck Woody works with me..." - Bob Ward (21:00) An aside about NFL Football teams and rivalries. (23:00) We all miss baseball. (23:50) "Did you find data or did data find you?" (25:00) How Bob was recruited by Microsoft 26 years ago (26:45) Anna Hoffman (https://twitter.com/AnalyticAnna) ... (28:15) Bob's Book: SQL Server 2019 Revealed (https://www.amazon.com/SQL-Server-2019-Revealed-Including/dp/148425418X) (31:00) "So this Bob Ward guy... he's kinda a big deal..." - Frank (32:45) "I have people like my wife to keep me humble." - Bob (34:00) "There's always somebody smarter..." - Bob (34:45) "The Silverlight apocalypse..." (35:30) "When I'm not working, I enjoy ____." (36:30) Some Good News (https://www.youtube.com/channel/UCOe_y6KKvS3PdIfb9q9pGug) (37:30) A Quiet Place (38:15) "I think the coolest thing in technology today is ____." (38:45) Bob started at Microsoft in 1993. (40:15) "There's no way somebody is going to put a SQL Server in the cloud." (42:00) FranksWorld.com (http://franksworld.com/) (42:40) On remote training (44:00) "I look forward to the day when I can technology to ____." (45:30) "IoT-ness" - Bob, circa 2020 (46:40) "Share something different about myself." (48:00) "We're all screwing up!" (49:30) Grace is Greater, by Kyle Idleman (https://www.amazon.com/Grace-Greater-Overcome-Redeem-Rewrite/dp/0801019419) (50:20) Bob on LinkedIn (https://www.linkedin.com/in/bobwardms/) (51:30) aka.ms/bobwardms (51:45) aka.ms/sqlworkshops (52:30) Tom Clancy series (https://www.amazon.com/Tom-Clancy/e/B000APF4T2) (53:00) Sherlock Holmes series (https://www.amazon.com/Arthur-Conan-Doyle/e/B000AQ43GQ) (54:00) Sherlock - BBC (https://www.imdb.com/title/tt1475582/) (54:45) "John Krasinski is a great Jack Ryan (https://www.imdb.com/title/tt5057054/) ." - Bob (58:00) Transcript (AI Generated)Hello and welcome to data driven, the podcast where we explore the emerging field of data science. We bring the best minds in data, software, engineering, machine learning and artificial intelligence. Now hear your hosts Frank Lavigna and Andy Leonard. Hello and welcome back to data driven. The podcast or we explore the emerging fields of data science, machine learning and artificial intelligence. If you like to think of data as the new oil, then you can consider as well like Car Talk and with me on his epic road trip down. The information superhighway is Andy Leonard. Although. I think we are now currently in lock down so that road ship and has been postponed. It has and wow what a you know what an interesting time to live in right Frank. Right right, we are recording this on April 15th. You know it's serious when even the government postpones tax collection. True, yeah today would have been the day that your taxes were doing US, but they pushed it back. I forgot three months for months whatever. Yeah, yeah, three months, but it's in Julies coming up on my birthday.

Buck Woody joins Kyle to share experiences from the field and the application of the Team Data Science Process - a popular six-phase workflow for doing data science.  

In this episode of Data Driven, Frank and Andy catch up with Brent Ozar and have a laugh or two at Silverlight’s expense, NoLock, and playing country music backwards. Links (http://thedatadrivenbook.com) Sponsor: Audible.com (http://thedatadrivenbook.com) – Get a free audio book when you sign up for a free trial! Notable Quotes Season 3 opened with John Lee Dumas aka JLD (http://datadriven.tv/inspiration-john-lee-dumas-tech-intensity-data-soup/) ([01:30]) Data Soup Summit (http://www.datasoupsummit.com) ([02:00]) Introducting Brent Ozar (https://brentozar.com) ([05:00]) “Get out there!” – Brent Ozar ([08:30]) Data work pays better. ([13:45]) Brent started in hotel management ([15:00]) Data is the new oil… but we should avoid spills. ([16:15]) “The job is getting harder, not easier.” ([18:30]) The “Aha” moment and ER analogy. ([21:30]) Brent’s quote voice… ([22:00]) Brent’s “Bad News Doctor” voice ([22:45]) Andy throws NoLock under the bus. Brent helps. ([23:12]) On shrinking databases… ([24:30]) NoSQL ([26:30]) Name-drop: Buck Woody (https://twitter.com/BuckWoodyMSFT) ([28:30]) Name-drop: Scott Hanselman (https://twitter.com/shanselman) ([29:00]) Ballerina Princess (https://www.facebook.com/andy.leonard/posts/10155299392198669) ([32:20]) Brent likes to travel. ([34:45]) “No one comes to me for a good time…” ([36:20]) The data is the choke-point. Again. ([38:30]) On Google Glass (https://www.google.com/glass/start/) ([39:45]) On Past Brent… ([41:00]) Name-drop: Brian Kelley (https://twitter.com/kbriankelley) ([41:30]) “We’re published. It’s a license to spell.” ([42:10]) Book Reference: Down and Out in the Magic Kingdom (https://en.wikipedia.org/wiki/Down_and_Out_in_the_Magic_Kingdom) ([43:45]) Social Radar (https://www.crunchbase.com/organization/socialradar) ([44:45]) Regarding iTunes… ([45:00]) Brent is into restaurants. ([46:45]) Andy’s Brent Story… ([48:15]) Brent is here to help. ([50:00]) On paying it forward… ([51:30]) “This looks like an engineer built it” is not a compliment. ([52:30]) Learn more about Brent at BrentOzar.com (https://brentozar.com) ([53:00]) William B. Irvine (https://dailystoic.com/william_irvine/) ([54:30]) @donttrythis (https://twitter.com/donttrythis) )([55:30]) Titan (https://www.audible.com/pd/Titan-Audiobook/B00ECGLKLG) by Ron Chernow ([58:40]) Regarding Midgely… (https://en.wikipedia.org/wiki/Thomas_Midgley_Jr.) ([1:00:00]) Brent’s Epic Life Quest (https://ozar.me/quest/) ([1:02:00]) WordPress Plugins I Use to Sell Training Classes (https://ozar.me/2017/04/wordpress-plugins-i-use-to-sell-training-classes/) ([1:02:30]) Frank’s New Year starts 1 Nov. ([1:03:15]) Sometimes life resembles a country music song… ([1:04:00]) Frank wrote a book about Silverlight (https://smile.amazon.com/Microsoft-Silverlight-Business-Application-Development-ebook/dp/B0058CR2QU) . ([1:05:15]) One day there will be a country song about a self-driving pickup leaving… ([1:06:10])   Transcript (Experimental) The following transcript was automatically generated with AI. Hello and Welcome to data driven the podcast where we explore the emerging field of data science. We bring the best minds in data software engineering machine learning and artificial intelligence now hear your hosts Frank Lavigna and Andy Leonard. Hello and welcome back to data driven the podcasts are we explore the emerging field. Some data science machine learning and artificial intelligence. If you’d like to think of data as the new oil and you can consider us Car Talk because we focus on where the rubber meets Virtual Road and

Frank and Andy talked about doing a Deep Dive show where they take a deep look into a particular data science technology, term, or methodology.  And now, they deliver! In this very first Deep Dive, Frank and Andy discuss the differences between Data Science and Data Engineering, where they overlap, where they differ, and why so many C-level execs can’t seem to figure out the deltas. Links Sponsor: Audible.com (http://thedatadrivenbook.com) – Get a free audio book when you sign up for a free trial! Sponsor: Enterprise Data & Analytics (https://entdna.com) Notable Quotes Frank’s new courses are up at WintellectNow ([01:30]) David Goggins (http://davidgoggins.com/) ([03:00]) Dive! Dive! Dive! It’s a deep dive on Data Science vs. Data Engineering ([06:00]) “Clean data” means different things to different people. ([09:30]) “Shaping the data.” ([11:00]) Our conversation with Buck Woody (http://datadriven.tv/buck_woody/) ([12:30]) Andy’s screed on managing NULLs ([14:00]) Andy’s screed on managing dupes ([17:00]) Frank, on aggregation and schema changes… ([21:21]) Attempted NoSQL definition ([23:45]) On MySQL… ([25:00]) Maybe “No” stands for “Not only” ([26:45]) “What sorcery is this?!” ([28:30]) Kevin Hazzard’s article on Database Design if we started today (https://blog.sqlauthority.com/2015/08/20/sql-server-rewriting-database-history-notes-from-the-field-094/) ([29:15]) Andy’s opinion: We’re not using the SSD-ness of SSD’s ([31:30]) “I don’t know how much simpler you can get.” – Andy ([33:00]) Denny Cherry’s company: Denny Cherry and Associates (https://www.dcac.co/) ([34:45]) “… somewhere between useless and lying…” ([35:45]) Frank on HDFS (https://hortonworks.com/apache/hdfs/) ([38:00]) ClearDB wiped out 13 years of Frank’s blog data, and we’re still bothered by that. ([40:30]) sklearn (http://scikit-learn.org/stable/) ([42:50]) Correlation is not causation. ([45:30]) How to Lie with Statistics (https://www.amazon.com/How-Lie-Statistics-Darrell-Huff/dp/0393310728/) ([45:45]) Movie/TV Reference: Star Trek TNG (http://www.imdb.com/title/tt0092455/) ([46:15]) CNTK (Microsoft Cognitive Toolkit) (https://www.microsoft.com/en-us/cognitive-toolkit/) ([48:00]) Frank, on selling ice cream… ([49:25]) On over-fitting (https://machinelearningmastery.com/overfitting-and-underfitting-with-machine-learning-algorithms/) ([55:30]) Training the model ([56:30]) Request for feedback! ([57:30])

In this episode, Frank and Andy catch up with Audrey Hammonds, the other half of the Data Chix duo (http://datachix.com) . Links Sponsor: Audible.com (http://thedatadrivenbook.com) – Get a free audio book when you sign up for a free trial! Sponsor: Enterprise Data & Analytics (http://entdna.com) Notable Quotes Frank’s cold/allergies ([1:00]) Andy is now Enterprise Data & Analytics (http://entdna.com) ‘ Chief Data Engineer ([2:00]) Frank wants to be more like Buck Woody (http://datadriven.tv/buck_woody/) ([3:00]) Innovative Architects (https://www.innovativearchitects.com/) ([3:50]) Hurricane Irma disrupted Data Driven! ([5:00]) Data Chix (http://datachix.com/) ([5:20]) Palm Beach Tech Association (https://palmbeachtech.org/) ([5:45]) Audrey lives at the beach ([8:00]) Audrey escaped COBOL… ([9:50]) … and learned Oracle (https://www.oracle.com) in the Air Force ([12:00]) On COBOL… ([13:00]) Audrey studied Bio-Medical Engineering in college ([14:30]) On building toys for children with prosthetics… ([15:15]) “I’m right here!” – Andy ([17:20]) On Andy’s phone calls… ([17:35]) “I’ve been trapped in here with me for decades, and I am not impressed.” ([21:45]) On Women if Tech… ([23:00]) Being a woman in IT… “It’s a double-edged sword” ([25:20]) Microsoft Flow (https://flow.microsoft.com) ([27:00]) “If you don’t like learning, this is a terrible field…” – Frank ([28:15]) We are constantly learning… ([29:00]) Weaponized hacking ([30:00]) Shoutout to the Frank and Andy show about Elon Musk (http://datadriven.tv/elon-musk-good-reasons-afraid-ai/) ([32:40]) Data is the new oil ([33:30]) Audrey is putting PowerBI in SPACE! ([36:00]) Movie reference: Hackers (http://www.imdb.com/title/tt0113243/) ([39:30]) Book Reference: Wheel of Time (https://www.audible.com/pd/Sci-Fi-Fantasy/The-Eye-of-the-World-Audiobook/B0036NHZ10/) ([40:30]) Book Reference: Paradox Bound (https://www.audible.com/pd/Sci-Fi-Fantasy/Paradox-Bound-Audiobook/B074WH171J/) ([41:15]) Book Reference: Ready Player One (https://www.audible.com/pd/Sci-Fi-Fantasy/Ready-Player-One-Audiobook/B005FRGT44/) ([42:00]) Sci-fi television reference: Stargate (http://www.imdb.com/title/tt0118480/) ([44:00]) Sci-fi television reference: Battlestar Gallactica (http://www.imdb.com/title/tt0407362/) ([44:30]) Back to school for Audrey! ([45:30]) Randy Dyess’ first sci-fi book: First Contact: Spider Wars: Book 1 (https://smile.amazon.com/First-Contact-Spider-Wars-Book/dp/1520517327/) ([49:00]) Mark Russinovich’s book: Zero Day (https://smile.amazon.com/Zero-Day-Jeff-Aiken-Novel/dp/B009GLTZ5K/) ([50:00]) “I don’t always know what I’m doing.” ([53:00]) “Be ready to fail many, many, many, many times before you get it right.” ([54:00]) #SqlFamily (https://twitter.com/hashtag/sqlfamily) shoutout ([56:45])

Frank and Andy ponder the meaning of data in the Data Age, treadmill desks, health data, and re-tooling your skills for AI and Machine Learning. Links: Sponsor: Audible.com (http://thedatadrivenbook.com) – Get a free audio book when you sign up for a free trial! Sponsor: Enterprise Data & Analytics (http://entdna.com) Notable Quotes Frank is working out ([0:45]) Book:  Brain Rules (https://www.amazon.com/Brain-Rules-Updated-Expanded-Principles/dp/098326337X) ([5:15]) Frank spoke at his first SQL Saturday! ([9:30]) Cathrine Wilhelmsen interviewed Buck Woody at MSIgnite ([16:30]) GPUs ([17:30]) SQL Server 2017 GA released ([22:00]) SSIS as a Service (not “Sassafras” but close) ([24:45]) Azure DataFest – Reston, Virginia – 12-13 Oct 2017 (https://www.eventbrite.com/e/azure-datafest-microsoft-azure-advanced-analytics-and-big-data-conference-reston-va-october-12-13-tickets-28683737832) ([26:50]) Some triskaidekaphobia ([28:15]) Frank has a new MSDN Magazine column! ([32:15]) Talking with the Farmville local podiatrist… ([34:15]) “Which exit?” ([24:22]) On becoming a data scientist… (http://datadriven.tv/kent-bradshaw-microsoft-data-science-professional-certification/) ([35:00]) Brittany Wegner (https://ideas.ted.com/brittany-wenger-cancer-research/) taught herself data . ([36:00]) www.FranksWorld.com (http://www.franksworld.com) ([38:00]) Ask YouTube star (https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A) to join us on Data Driven! Teachable Machine (https://teachablemachine.withgoogle.com) – it’s magic. ([41:00]) Crazy talk… ([47:00]) It’s been about a year… ([48:20])

In this episode, Frank and Andy talk about the Ignite 2017 conference, quantum computing, great guests, and the effects of hurricanes on podcast production schedules. Oh yeah and the AI apocalypse. Maybe Elon Musk knows something we don’t (https://www.vanityfair.com/news/2017/03/elon-musk-billion-dollar-crusade-to-stop-ai-space-x) . Links Sponsor: Audible.com (http://thedatadrivenbook.com) – Get a free audio book when you sign up for a free trial! Sponsor: Enterprise Data & Analytics (http://entdna.com) Notable Quotes ClearDB strikes again… ([2:45]) Hurricane Irma knocked out last week’s show ([4:30]) Microsoft Ignite ([5:30]) Shoutout to Rimma Nehme (http://datadriven.tv/rimma-nehme-cosmosdb-planet-scale-applications-selling-door-door/) Shoutout to Buck Woody (http://datadriven.tv/buck_woody/) Alexa Dev Day ([7:30]) Frank’s WintellectNOW Data Science course: Data Science for Developers (https://www.wintellectnow.com/Videos/Watch?videoId=data-science-for-developers) ([9:00]) Shoutout to Julie Smith (http://datadriven.tv/julie-smith-escape-rooms-percussive-maintenance-data-science/) ([10:30]) Quantum Computing and Qubits ([11:30]) Television reference: Quantum Leap (http://www.imdb.com/title/tt0096684/) ([14:20]) Too much CI? ([20:30]) “Ask” is NAN (not a noun) ([21:30]) SSIS as a Service ([22:00]) The SSIS Data Flow Task and REST ([23:45]) Shoutout to Kevin Hazzard (http://datadriven.tv/kevin_hazzard/) The FedEx commercial (https://www.youtube.com/watch?v=zNCrMEOqHpc) ([24:15]) “All I see is data.” ([25:10]) “AI-first” ([26:55]) “Data Estate” ([27:55]) Curiosity Stream (https://app.curiositystream.com/) ([28:15]) Shoutout to Lynn Langit (http://datadriven.tv/lynn-langits-excellent-data-adventure/) “Paranoia is a skill.” ([31:55]) Universal Basic Income and the economics of automation ([32:30]) “The way out is not the way we got in…” ([40:50]) Velocity… ([46:00]) Titling this show ([47:35]) Praying for Puerto Rico ([48:30]) Data and Disasters (http://datadriven.tv/datapoint-data-disasters/) ([48:50]) Nassim Taleb’s next book ([49:30]) Antifragile (https://www.audible.com/pd/Science-Technology/Antifragile-Audiobook/B009PRJ6BS/) Unicorns Among Us (https://www.audible.com/pd/Science-Technology/Unicorns-Among-Us-Audiobook/B00NSXNRAG)

In this episode, Frank and Andy talk to Buck Woody of Microsoft. Warning: This show contains lots of laughter! Links: Sponsor: theDataDrivenBook.com (http://theDataDrivenBook.com) ! Sponsor: Enterprise Data & Analytics (http://entdna.com) Buck’s blog: Backyard Data Science (http://buckwoody.wordpress.com) Notable Quotes: TDSP (https://azure.microsoft.com/en-us/documentation/learning-paths/data-science-process/) – Team Data Science Process  ([6:30]) MOOC – Massive Online Open Course – “democratizing intelligence” ([7:20]) Buck’s a “warrant officer” [Applied Data Scientist] ([15:40]) How Data Scientists are like your significant other… ([18:00]) BI and Data Mining are *not* the same thing. ([20:30]) Buck’s Data Science technology Matryoshka Dolls analogy ([22:22]) Movie reference: Office Space (http://www.imdb.com/title/tt0151804) ([25:30]) “No. And fix the bridges.” ([27:15]) “… as long as we’re not recoring this or anything…” ([28:00]) Buck does *not* answer my question about how to manage meetings! ([30:30]) Buck loves Andy’s car. ([33:45]) “Big data was invented to process my HR file.” ([34:45])

Andy talks with Microsoft’s Buck Woody about what an Applied Data Scientist does, Power BI, and the rapid pace of innovation in the data space. Recorded live at SQL Saturday Dublin on June 17, 2016.

PASS Summit 2016 - the world’s largest conference for SQL Server and BI Professionals - is happening October 25th-28th in Seattle, WA. Join Jennifer Moser, Lara Rubbelke, Chantel Gipe, Buck Woody,Thomas LaRock and Chuck Heinzelman as they discuss what you can you expect to see at this year’s conference. From big announcements, keynote addresses, networking and career building opportunities – this is one event you don’t want to miss![2:49] Data Science. Is that still a thing? [4:03] If someone went to PASS Summit in the past, why should they go again?[6:50] What's going on at the SQL Clinic this year?[9:21] Is PASS Summit for Developers?[11:49] What's the one thing you want attendees to prepare for at PASS Summit 2016?[17:09] Besides bacon, why else should people attend?[18:54] Keynotes!! Who's speaking this year?Why Attend? Click here and learn more__________________________If you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:Websites & Blogs:Cloud Solutions HubBuilding Clouds blog Follow the conversation @MS_ITPro Become a Fan @ facebook.com/MicrosoftITPro Subscribe to our podcast via iTunes, Stitcher, or RSS

PASS Summit 2016 - the world’s largest conference for SQL Server and BI Professionals - is happening October 25th-28th in Seattle, WA. Join Jennifer Moser, Lara Rubbelke, Chantel Gipe, Buck Woody,Thomas LaRock and Chuck Heinzelman as they discuss what you can you expect to see at this year’s conference. From big announcements, keynote addresses, networking and career building opportunities – this is one event you don’t want to miss![2:49] Data Science. Is that still a thing? [4:03] If someone went to PASS Summit in the past, why should they go again?[6:50] What's going on at the SQL Clinic this year?[9:21] Is PASS Summit for Developers?[11:49] What's the one thing you want attendees to prepare for at PASS Summit 2016?[17:09] Besides bacon, why else should people attend?[18:54] Keynotes!! Who's speaking this year?Why Attend? Click here and learn more__________________________If you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:Websites & Blogs:Cloud Solutions HubBuilding Clouds blog Follow the conversation @MS_ITPro Become a Fan @ facebook.com/MicrosoftITPro Subscribe to our podcast via iTunes, Stitcher, or RSS

PASS Summit 2016 - the world’s largest conference for SQL Server and BI Professionals - is happening October 25th-28th in Seattle, WA. Join Jennifer Moser, Lara Rubbelke, Chantel Gipe, Buck Woody,Thomas LaRock and Chuck Heinzelman as they discuss what you can you expect to see at this year’s conference. From big announcements, keynote addresses, networking and career building opportunities – this is one event you don’t want to miss![2:49] Data Science. Is that still a thing? [4:03] If someone went to PASS Summit in the past, why should they go again?[6:50] What's going on at the SQL Clinic this year?[9:21] Is PASS Summit for Developers?[11:49] What's the one thing you want attendees to prepare for at PASS Summit 2016?[17:09] Besides bacon, why else should people attend?[18:54] Keynotes!! Who's speaking this year?Why Attend? Click here and learn more__________________________If you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:Websites & Blogs:Cloud Solutions HubBuilding Clouds blog Follow the conversation @MS_ITPro Become a Fan @ facebook.com/MicrosoftITPro Subscribe to our podcast via iTunes, Stitcher, or RSS

Is it time to jump into machine learning? Richard talks to Buck Woody about how he has focused his multi-decade career at the leading edge of using data for business advantage. Buck talks about the differences between business intelligence, data mining, predictive analytics and machine learning. The landscape called Data Science these days is large, but there is lots of opportunities. When you get it right, Data Science represents a huge opportunity for your organization. But it is a young technology now that benefits generalists, and you do need to learn some things. Check the show notes for great places to get started!

Buck gives us a run down of his fascinating career. Cecil asks Buck what was his military experience like? Buck talks about working at NASA and some of his philosophy on computing. Buck elaborates about his time at NASA and explains what it was like working at Kennedy Space Center when the shuttle program was active. Buck tells us how the Space Shuttle got it's engines, how he uniquely solved a problem with an Amiga, and other stories from his time at NASA. Finally, Buck shares some tips for experienced and novice speakers. Links Buck Woody's Blog Kennedy Space Center Commodore PET Commodore Amiga ...

Buck Woody from Microsoft about SQL Server and PowerShell.

Richard and Greg talk to Buck Woody about SQL CMS, a tool he's contributed to codeplex at http://sqlcms.codeplex.com. SQL CMS is actually a collection of tools that together provide content management of SQL Server and other servers in your network, allowing you to identify different servers, who's responsible for managing them, their current status and details of their configuration. It's a great synergy of tools built into SQL Server 2008, accelerators like MAPS and EPM - Enterprise Policy Management Framework, another project on codeplex.

Richard and Greg talk to Buck Woody... they had planned on talking about sqlcms.codeplex.com but ended up instead digging into what it takes to be in an IT career in today's economy. The discussion ranges from the advantages of generalists vs. specialists, consulting vs. employment and how technology is evolving to support these different styles.

In this show SQL Server product group member Buck Woody discusses Powershell for SQL Server. He also discusses roles within the product group. Interview was recorded live at the SQL PASS Summit.