Afleveringen
-
Some people speculate that AI will make software and data engineers obsolete. If the only thing engineers do is write code, sure.
But we do a lot more than that, and I believe we'll actually need more engineers, not fewer.
In this episode, I discuss how I think AI will change the craft of software and data engineering. Spoiler - I think it will make it way more fun and productive.
------------------------------
Thanks to dbt and GoodData for sponsoring this episode. Please support them, as they're awesome.
dbt Launch Showcase
Join dbt Labs May 28 for the dbt Launch Showcase to hear from executives and product leaders about the latest features landing in dbt. See firsthand how features will empower data practitioners and organizations in the age of AI.
---------
GoodData Webinar
Analytics and data engineering used to live in separate worlds—different teams, different tools, different goals. But the lines are blurring fast. As modern data products demand speed, scale, and seamless integration, the best teams are embracing engineering principles and best practices.
In this no-BS conversation, Ryan Dolley, Matt Housley, and Joe Reis, dive into how engineering principles are transforming the way analytics is built, delivered, and scaled.
📆 May 27, 2025🕘 9:00 AM PDT, 12:00 PM EDT, 6:00 PM CEST🔗 Register here!
-
Laura McDonald is an enterprise account executive, and she walks me through navigating the complex world of enterprise sales. We chat about the sales cycle, the importance of building relationships, the challenges of navigating long complicated procurement processes, and much more. Whether you're a sales rookie, an experienced salesperson, a founder, or just interested in sales, you'll learn something new from this conversation.
-
Zijn er afleveringen die ontbreken?
-
I've spoken all over the world, at the biggest events, the most intimately small, and everywhere in between. In this Practical Data Community lunch and learn, I share some experiences with public speaking, give some advice on getting your first public speaking gig, how to prepare, preparing talks, dealing with stage fright, getting paid, and much more. Enjoy!
From the Practical Data Lunch and Learn, May 9, 2025
-
Michael Drogalis joins me to chat about building his company - Shadow Traffic - in public. We discuss sales, the psychological toll of rejection, the rollercoaster of entrepreneurship, and strategies for audience building and content creation.
-
John Giles joins me to discuss his new book, "The Data Elephant in the Board Room," conceptual modeling, the unreasonable effectiveness of data modeling patterns, and more.
-
Zhamak Dehghani joins the Practical Data Community for an open-ended Q&A about autonomous data products, Data Mesh, NextData and much more.
NextData: https://www.nextdata.com/Practical Data Community: https://discord.gg/gNfw5AKWSK
-
I've recently spoken to several groups of students (undergrad and graduate) about the data industry, career advice, and more. Here, I distill some of my major points about careers, finding work, and more.
If you're graduating this Spring 2025, congrats!
This episode is brought to you by GoodData.
-
Jessica Talisman and I hang out at my home and chat about libraries, data, ontologies, knowledge, shitty tech jobs, and much more.
-
Sarah McKenna joins me to chat about all things web scraping. We discuss its applications, the evolution of alternative data, and AI's impact on the industry. We also discuss privacy concerns, the challenges of bot blocking, and the importance of data quality. Sarah shares ideas on how to get started with web scraping and the ethical considerations surrounding copyright and data collection.
-
I recently overheard someone say, "I Don't Need to Learn Anything Anymore" because AI would do all of this person's work. This got me thinking about the future of learning, human expertise and depth, and more.
-
Juan Sequeda and Jesus Barrasa are among the top experts on graphs in the world. In this episode, we chat about the definitions of semantics, ontologies, and the differences between RDF and property graphs, etc. We also talk about how AI is giving graphs a new surge of interest.
-
Data teams have had a rough few years. Lots of layoffs and cuts, doing more work with fewer resources, and a general sense of malaise. On top of all of this, now we're in the middle of a trade war. This is war. If you're a data team, you need to act accordingly.
-
Tim Berglund is the OG of DevRel. We chat about the art and craft of developer relations, hacking on hardware, and much more.
-
Just wrapped up a whirlwind tour, giving a workshop in Atlanta and then attending Google Cloud Next. B2b nonstop action, and I'm glad to home for a bit.
While at Next, I had a conversation with another tech old timer friend. We talked about how much we're having using AI as a coding assistant. I'm having fun coming up with wild stuff and seeing if it's possible to build with code. AI's made coding fun again!
------------------
📈 This episode is brought to you by GoodData. Design and deploy custom data applications and integrate AI-assisted analytics capabilities wherever your users need them.
For more information, visit https://www.gooddata.com
-----------------
-
Juhani Vanhatapio lives in Finland at the Arctic Circle and is studying data engineering and machine learning. Juhani shares stories about life in the Arctic, the challenges and fun of guiding tours to see the Northern Lights, his AI Assistant for Northern Lights tourism, and his journey into the tech field during the COVID pandemic. This is definitely a very interesting and left-field conversation you'll enjoy.
-
I'm heads down with some work right now, but here are some random rants on workshops, the tariff chaos, and more.
-
Vin Vashishta and I chat about the current state of AI in business, the challenges of implementation, the pervasive hype surrounding AI technologies, influencers, and more.
-
Vaibhav Gupta and I chat about our shared love for tacos in Austin, the evolution of AI tools, and why new thinking and approaches are required for AI-first tools.
BAML: https://github.com/BoundaryML/baml
- Laat meer zien
