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The Philosophy of Software Design – with John Ousterhout
2025-04-09 · 16:25
Gergely Orosz
– host
,
John Ousterhout
– Stanford professor
@ Stanford University
Supported by Our Partners • CodeRabbit — Cut code review time and bugs in half. Use the code PRAGMATIC to get one month free. • Modal — The cloud platform for building AI applications. — How will AI tools change software engineering? Tools like Cursor, Windsurf and Copilot are getting better at autocomplete, generating tests and documentation. But what is changing, when it comes to software design? Stanford professor John Ousterhout thinks not much. In fact, he believes that great software design is becoming even more important as AI tools become more capable in generating code. In this episode of The Pragmatic Engineer, John joins me to talk about why design still matters and how most teams struggle to get it right. We dive into his book A Philosophy of Software Design, unpack the difference between top-down and bottom-up approaches, and explore why some popular advice, like writing short methods or relying heavily on TDD, does not hold up, according to John. We also explore: • The differences between working in industry vs. academia • Why John believes software design will become more important as AI capabilities expand • The top-down and bottoms-up design approaches – and why you should use both • John’s “design it twice” principle • Why deep modules are essential for good software design • Best practices for special cases and exceptions • The undervalued trait of empathy in design thinking • Why John advocates for doing some design upfront • John’s criticisms of the single-responsibility principle, TDD, and why he’s a fan of well-written comments • And much more! As a fun fact: when we recorded this podcast, John was busy contributing to the Linux kernel: adding support to the Homa Transport Protocol – a protocol invented by one of his PhD students. John wanted to make this protocol available more widely, and is putting in the work to do so. What a legend! (We previously covered how Linux is built and how to contribute to the Linux kernel) — Timestamps (00:00) Intro (02:00) Why John transitioned back to academia (03:47) Working in academia vs. industry (07:20) Tactical tornadoes vs. 10x engineers (11:59) Long-term impact of AI-assisted coding (14:24) An overview of software design (15:28) Why TDD and Design Patterns are less popular now (17:04) Two general approaches to designing software (18:56) Two ways to deal with complexity (19:56) A case for not going with your first idea (23:24) How Uber used design docs (26:44) Deep modules vs. shallow modules (28:25) Best practices for error handling (33:31) The role of empathy in the design process (36:15) How John uses design reviews (38:10) The value of in-person planning and using old-school whiteboards (39:50) Leading a planning argument session and the places it works best (42:20) The value of doing some design upfront (46:12) Why John wrote A Philosophy of Software of Design (48:40) An overview of John’s class at Stanford (52:20) A tough learning from early in Gergely’s career (55:48) Why John disagrees with Robert Martin on short methods (1:10:40) John’s current coding project in the Linux Kernel (1:14:13) Updates to A Philosophy of Software Design in the second edition (1:19:12) Rapid fire round (1:01:08) John’s criticisms of TDD and what he favors instead (1:05:30) Why John supports the use of comments and how to use them correctly (1:09:20) How John uses ChatGPT to help explain code in the Linux Kernel — The Pragmatic Engineer deepdives relevant for this episode: • Engineering Planning with RFCs, Design Documents and ADRs • Paying down tech debt • Software architect archetypes • Building Bluesky: a distributed social network — See the transcript and other references from the episode at https://newsletter.pragmaticengineer.com/podcast — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected]. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe |
The Pragmatic Engineer |
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Learn about the benefits of a SLM (small language model) and other GenAI use cases with Armand Ruiz, Director watsonx Client Engineering {Replay}
2024-10-02 · 11:00
John Webb
– Principal Client Engineering
@ IBM
,
Armand Ruiz
– Director watsonx Client Engineering
@ IBM
Send us a text More on GenAI, Hallucinations, RAG, Use Cases, LLMs, SLMs and costs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering. With this and the previous episode you'll be wiser on AI than 98% of the world. 00:12 Hallucinations02:33 RAG Differentiation06:41 Why IBM in AI09:23 Use Cases11:02 The GenAI Resume13:37 watson.x 15:40 LLMs17:51 Experience Counts20:03 AI that Surprises23:46 AI Skills26:47 Switching LLMs27:13 The Cost and SLMs28:21 Prompt Engineering29:16 For FunLinkedIn: linkedin.com/in/armand-ruiz, linkedin.com/in/john-webb-686136127 Website: https://www.ibm.com/client-engineering Love what you're hearing? Don't forget to rate us on your favorite platform! Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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Master Your Circle: Leadership Coaching for Thriving and Influencing in a Messy World. With Lynne Snead, Founder and Coach at Talent Evolution Systems
2024-08-21 · 10:00
Lynne Snead
– Founder; Behavioral Analyst; Consultant; Training Specialist; Speaker; Coach
@ Talent Evolution Systems
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text I took a much needed vacation and invited my favorite coach back on the show. Lynne Snead, Principal and Owner of Talent Evolution Systems, discusses how to maintain focus and expand influence, using the three circles model. Leadership is is influence; are you a manager or leader? Would people follow you even if they didn't have to? If the answer is yes, that's leadership. 02:47 Meet Lynne Snead Again03:47 The Circles Model 09:30 The Circle of Personal Control14:05 It’s the How You Say It, Also to Yourself!20:43 Thought Management22:53 Leadership = Influence25:08 A Manager vs a Leader27:05 Mindset & Energy29:59 Stress31:11 Atomic Habits 33:47 Mindmapping36:19 Emotional Intelligence39:38 Read, Study, Learn or Be Left Behind Lynne Snead Linkedin Talent Evolution Systems Katherine Mayne Reading list: Stephen Covey, 7 Habits James Clear, Atomic Habits John A Daly, Advocacy: Championing Ideas and Influencing Others Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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Data Engineering and the rise of the API - John Martin
2024-07-18 · 16:00
Presentation Title: Data Engineering and the rise of the API Description APIs, once the preserve of application developers or enterprise service bus integration solutions, are now commonplace for data engineers to use. With increased use of SaaS platforms holding key business data, we can no longer connect to the database directly. Rather, we need to pull data from an API, which will be unique per-platform. Join me as I work through the key characteristics of APIs, from authentication, headers, body, and parameters, through to pagination for large volumes of data. I will demonstrate how we can utilise APIs in our data pipelines to get the data we need, when we need it. |
Data Engineering and the rise of the API - John Martin
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John Webb
– Principal Client Engineering
@ IBM
,
Al Martin
– WW VP Technical Sales
@ IBM
,
Armand Ruiz
– Director watsonx Client Engineering
@ IBM
Send us a text More on GenAI, Hallucinations, RAG, Use Cases, LLMs, SLMs and costs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering. With this and the previous episode you'll be wiser on AI than 98% of the world. 00:12 Hallucinations02:33 RAG Differentiation06:41 Why IBM in AI09:23 Use Cases11:02 The GenAI Resume13:37 watson.x 15:40 LLMs17:51 Experience Counts20:03 AI that Surprises23:46 AI Skills26:47 Switching LLMs27:13 The Cost and SLMs28:21 Prompt Engineering29:16 For FunLinkedIn: linkedin.com/in/armand-ruiz, linkedin.com/in/john-webb-686136127 Website: https://www.ibm.com/client-engineering Love what you're hearing? Don't forget to rate us on your favorite platform! Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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Candid view on GenAI, Foundational Models, and LLMs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering
2024-02-07 · 11:00
John Webb
– Principal Client Engineering
@ IBM
,
Al Martin
– WW VP Technical Sales
@ IBM
,
Armand Ruiz
– Director watsonx Client Engineering
@ IBM
Send us a text Let's go deep on GenAI, Foundational Models, and LLMs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering. Get a candid view on what is happening in the industy today. 01:40 Meet Armand Ruiz05:09 Meet John Webb06:43 The Client Engineering Practice07:51 GenAI11:50 IBM's AI Approach 13:50 GenAi in the Enterprise 15:47 Where to Start?18:10 RAG Method19:11 IBM's Differentiation21:25 AI Regulation24:22 LLM versus Smaller ModelsLinkedIn: linkedin.com/in/armand-ruiz, linkedin.com/in/john-webb-686136127 Website: https://www.ibm.com/client-engineering Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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Kansas Rules. John Darbyshire, CEO SmartSuite & Serial Entrepreneuer joins Al to discuss work management, data, and passion as king.
2022-07-27 · 08:00
Jon Darbyshire
– Co-Founder and CEO
@ SmartSuite
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text This week a Kansas boy done good. Jon Darbyshire, CEO SmartSuite and serial entrepreneur on work management to manage process, from any industry, within a single platform. Show Notes 03:28 From Haysville to Newport Beach07:18 Why start a business in a pandemic?08:48 Who needs venture funding. Not Jon.09:26 Workplace automation defined14:12 SmartSuite capabilities19:30 Targeting Millennials and Gen Z20:45 Slack built in21:54 SmartSuite differentiation23:07 Sharing data25:28 The sales pitch28:56 All in. all the time31:00 Passion with preparation is king34:04 Running a family business41:26 Target client profiles44:15 Definition of success46:25 Building a culture49:00 Vision or Grinders?Find Jon : https://www.linkedin.com/in/jondarbyshire/ Find SmartSuite : https://www.smartsuite.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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This week we continue with part 3 of AI Academy discussing AI Ladder and AI Maturity
2021-02-10 · 11:00
Kristen Summers
– Distinguished Engineer
@ IBM (Expert Labs)
,
Al Martin
– WW VP Technical Sales
@ IBM
,
John Thomas
– guest
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Kristen Summers and John Thomas. Kristen is a Distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs. John is a Distinguished Engineer in Data and Expert Labs, John leads Services that helps clients establish the AI factory. Show Notes 3:24 – What is the AI academy and how does it all fit together? 4:34 – AI Ladder and AI Maturity 8:32 – How does the AI Factory make it easier to accomplish the AI Ladder? 12:00 – Why does your team do it better? 17:03 – How do you know your data is ready? 21:22 – What is the most practical use case? 23:02 – What does it really mean to infuse AI? 25:15 – Definition of AI maturity curve 28:25 – How do you know it’s trustworthy? 29:14 – What the most important lesson you’ve learned with AI and what is AI not very good at? In the Dream House Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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[Part 2] Al and Lynne Snead discuss leadership, business coaching and debunking leadership myths, hard skills and soft skills and something called squishy
2021-01-20 · 11:00
Lynne Snead
– Founder; Behavioral Analyst; Consultant; Training Specialist; Speaker; Coach
@ Talent Evolution Systems
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003. Show Notes 3:40 – Any advice on soft skills and hard skills? 8:35 – Telltale signs such as stress 10:40 – Settings goals Connect with the Team Producer Kate Brown - LinkedIn Producer Steve Templeton - LinkedIn Host Al Martin - LinkedIn and Twitter Books Thinking Fast and Slow Financial Intelligence Other notable names Brene Brown Judith Glaser Marshall Goodsmith Daniel Goleman Lynne’s List of Recommended Leadership Books Leadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian TracyWant to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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[Part 2] Lynne Snead discusses leadership, coaching and being your best self and mixing that in with data
2020-10-14 · 10:00
Lynne Snead
– Founder; Behavioral Analyst; Consultant; Training Specialist; Speaker; Coach
@ Talent Evolution Systems
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach, Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen Covey. Show Notes 2:25 – Can data define behavior in someone? 7:19 – How do you complete an assessment? 9:46 – Attributes of assessments 20:25 – Coaching advice Lynne Snead - LinkedIn Talent Evolution Systems Lynne’s email: [email protected] Leadership and self deception How will you measure your life? Lynne’s List of Recommended Leadership Books Leadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian Tracy Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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100th Episode Special: Uncovering a Mad Scientist feat. John Cohn - Part 2
2020-01-15 · 11:00
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract In part 2 of 2 of our 100th episode special, John Cohn follows-up on his experience following the tragic death of his second son, while learning to remain optimistic and look to other opportunities in life. A self-proclaimed technology optimist, John shares his perspective on the state of various tech-related fields and why yielding development could harm true progress. Connect with John LinkedIn Passion//Project Article Twitter Show Notes 05:54 - Check out this Venture Beat article on AI ethics. 07:30 - See John Cohn's Veremin project here. 24:29 - Here are 7 ways to bring passion to your work. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Mark Simmonds - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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100th Episode Special: Uncovering a Mad Scientist feat. John Cohn - Part 1
2020-01-08 · 11:00
Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Welcome to season 4 of Making Data Simple! We are starting this year with a bang, as it also marks our 100th episode anniversary! For this special podcast, we have invited on John Cohn as our guest. John is an IBM Fellow, engineer, maker-advocate, and commonly known as the "mad scientist". He is best known for his appearance on the Discovery Channel show, The Colony. John discusses his experience on the show, his career with IBM thus far, along with plans for the future. Stay tuned for part 2 coming next week. Connect with John LinkedIn Passion//Project Article Twitter Show Notes 5:40 - Watch The Colony here. 27:08 - Learn more about Burning Man here. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Mark Simmonds - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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The Art of Teaching AI [Season 3 - Episode 26]
2019-07-10 · 14:00
John DeNero
– Professor
@ UC Berkeley
,
Al Martin
– WW VP Technical Sales
@ IBM
Send us a text In this week's episode of Making Data Simple, we are joined by guest John DeNero, who is a Professor at UC Berkeley. John specializes in teaching artificial intelligence - winning a distinguished teaching award in 2018 as a result. Host Al Martin and John discuss methods of teaching AI, the state of the education industry, and the company he co-founded, Lilt. Listen in for a diverse, high level, and engaging conversation. Show Notes 00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 00:30 - Connect with Producer Lana Cosic on LinkedIn and Twitter. 00:35 - Connect with John DeNero on LinkedIn and be sure to check out Lilt! 02:31 - This Wall Street Journal article backs it up - UC Berkeley's fastest-growing class is Data Science 101. 09:06 - Check out this interesting article on statistics anxiety. 19:26 - Where do data scientists come from? What field of study is more related to the role? 35:42 - Why the tech world needs philosophers. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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Clips from our Top 5 Podcasts of 2018 - Making Data Simple [Replay]
2019-01-02 · 05:00
Lisa Seacat DeLuca
– guest
,
Jillian Lellis
– guest
,
Jean-Francois Puget
– PhD, Distinguished Engineer
@ NVIDIA
,
Al Martin
– WW VP Technical Sales
@ IBM
,
John Thomas
– guest
,
Adam Storm
– guest
Send us a text Host Al Martin looks back on his top 5 favourite clips from episodes published in 2018. These conversations range from explaining the importance of data visualization, to discussing the differences between A.I. and deep learning. Thanks to all of our listeners for an incredible 2018, and prepare yourself for Season 3 of the Making Data Simple podcast! Show Notes 00:00 - Check us out on YouTube and SoundCloud! 00:10 - Connect with producer Liam Seston on LinkedIn and Twitter. 00:15 - Connect with producer Steve Moore on LinkedIn and Twitter. 00:24 - Connect with host Al Martin on LinkedIn and Twitter. 00:55 - Listen to the full conversation with Lisa Seacat DeLuca here. 05:45 - Listen to the full conversation with John Thomas here. 09:59 - Listen to the full conversation with Jillian Lellis here. 13:39 - Listen to the full conversation with Adam Storm here. 18:36 - Listen to the full conversation with Jean Francois Puget here. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. |
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Data Professionals at Work
2018-10-11
Malathi Mahadevan
– author
Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of technology today. Data is the hottest word of the century, and data professionals are in high demand. You may already be a data professional such as a database administrator or business intelligence analyst. Or you may be one of the many people who want to work as a data professional, and are curious how to get there. Either way, this collection helps you understand how data professionals work, what makes them successful, and what they do to keep up. You’ll find interviews in this book with database administrators, database programmers, data architects, business intelligence professionals, and analytics professionals. Interviewees work across industry sectors ranging from healthcare and banking tofinance and transportation and beyond. Each chapter illuminates a successful professional at the top of their game, who shares what helped them get to the top, and what skills and attitudes combine to make them successful in their respective fields. Interviewees in the book include: Mindy Curnutt, Julie Smith, Kenneth Fisher, Andy Leonard, Jes Borland, Kevin Feasel, Ginger Grant, Vicky Harp, Kendra Little, Jason Brimhall, Tim Costello, Andy Mallon, Steph Locke, Jonathan Stewart, Joseph Sack, John Q. Martin, John Morehouse, Kathi Kellenberger, Argenis Fernandez, Kirsten Benzel, Tracy Boggiano, Dave Walden, Matt Gordon, Jimmy May, Drew Furgiuele, Marlon Ribunal, and Joseph Fleming. All of them have been successful in their careers, and share their perspectives on working and succeeding in the field as data and database professionals. What You'll Learn Stand out as an outstanding professional in your area of data work by developing the right set of skills and attitudes that lead to success Avoid common mistakes and pitfalls, and recover from operational failures and bad technology decisions Understand current trends and best practices, and stay out in front as the field evolves Break into working with data through database administration, business intelligence, or any of the other career paths represented in this book Manage stress and develop a healthy work-life balance no matter which career path you decide upon Choose a suitable path for yourself from among the different career paths in working with data Who This Book Is For Database administrators and developers, database and business intelligence architects, consultants, and analytic professionals, as well as those intent on moving into one of those career paths. Aspiring data professionals and those in related technical fields who want to make a move toward managing or analyzing data on a full-time basis will find the book useful. Existing data professionals who want to be outstanding and successful at what they do will also appreciate the book's advice and guidance. |
O'Reilly Data Science Books
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