Data Chaos is a deep-dive podcast focusing on the people, technologies, and all things surrounding the journey of data in today's companies. We'll cover topics ...
After two successful seasons of the Data Chaos podcast, we've decided to take a pause on any new episodes. We've absolutely loved all of the conversations we've had with our guests but ultimately have decided to focus our efforts on more technically nuanced content.
That new content will be centered on ClickHouse. It's no secret that my company, Propel (which sponsors Data Chaos), is built using this lightning-fast columnar database. We created Propel as the easiest way to run ClickHouse at any scale and learned a ton along the way. We want to share these learnings with the community through our blogs and the new podcast.
Whether you're a seasoned ClickHouse admin, a data enthusiast, or just curious about high-performance analytics, this podcast covers everything from basic concepts to advanced use cases. It features industry experts, real-world success stories, and best practices to help you get the most out of ClickHouse in your data stack.
We hope you give it a listen!
Spotify
Apple
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2:18
Lindsey Bell - Product Operations Take 2
Unlock the secrets of Product Operations with the return of Lindsey Bell, as she guides us through her transition from RapidAPI to Foursquare and the potent impact of Product Ops in today's tech scene. As the vital 'glue' of R&D organizations, Lindsay demystifies the skepticism surrounding Product Ops and shares her firsthand insights - revealing how this role is reshaping company culture and team efficiency. Plus, we explore Melissa Perri's influential new book on the topic, promising to enrich your understanding of integrating Product Operations into your business strategy.
We're stirring up the conversation around the convergence of design ops, engineering ops, and product ops, dissecting their collective role in scaling and streamlining organizations. Discover the fine line between fostering innovation and risking misalignment within specialized ops roles. I'll draw from a diverse range of company cultures to illustrate how an overarching product ops role can detect inefficiencies and promote synergy between product management and engineering, steering clear of siloed work environments and driving toward the creation of remarkable products.
Journey with us into the mechanics of product management, where we dissect the product development lifecycle and the art of upholding deadline accountability across various stages of company growth. Lindsay Bell and I compare notes on how Foursquare is mastering roadmap visibility with the past experiences, scrutinizing the tools that support this vital process. We also dream up the ultimate visualization tool for tracking product development from start to finish - a system designed to pivot a product's journey from initial concept to market triumph. Join us for this deep dive into operational excellence and the roles that make products stand out in a crowded marketplace.
(00:01) - Product Operations and Industry Insights
(06:38) - The Role of Operations in Organizations
(16:47) - Product Development Operations and Roadmaps
(23:04) - Effective Product Management Practices
(35:40) - Product Management and Deadline Accountability
(43:39) - Exploring Research Ops in Product Development
(47:43) - Product Development Lifecycle Visualization Tool
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58:10
Chad Sanderson - The Future of Data Products
Excited to share our latest episode of the Data Chaos Podcast, featuring none other than the visionary CEO of Gable.ai, Chad Sanderson! 🌟
🎙️ Dive into Chad's incredible journey from a Southeast Asia-based journalist to a leading figure in the realm of data analytics. He's reshaping how we approach data, transforming it from a mere support function into a core revenue driver. 💼💡
In this enlightening conversation, Chad pulls back the curtain on the evolution of data analytics, the modernization of data infrastructures, and the fascinating insights from his upcoming work "Data Contracts". 📊✍️
🔑 Key discussions include:
- The metamorphosis of data teams into strategic powerhouses 📈
- The creation of innovative data products that fuel business growth 🛠️
- The vital symbiosis between data and software engineering for future-forward architectures 🤖
- The critical importance of feedback loops in driving product and revenue enhancements 🔄
Chad's story is a testament to the transformative power of data when wielded with expertise. Tune in to gain invaluable insights and learn how data mastery can revitalize your business strategy. 🌐📈
Don't miss this episode - perfect for data enthusiasts, business strategists, and anyone curious about the intersection of data, innovation, and entrepreneurship.
(10:53 - 13:05) Data Resourcing Challenges and Realizations (132 Seconds)
(17:28 - 18:16) Efficiency and Creativity in Facilities Operations (48 Seconds)
(20:41 - 21:45) Data Management and Dashboarding Process (64 Seconds)
(25:32 - 28:55) Cohesion in Data Engineering (203 Seconds)
(31:51 - 34:05) Software Engineering Coupling Concept (135 Seconds)
(35:39 - 37:15) API Feedback Loop Importance in Communication (96 Seconds)
(40:56 - 42:46) Challenges and Decision-Making in Data Science (110 Seconds)
(52:17 - 53:25) Data Ecosystem and Code Generation Explanation (68 Seconds)
(01:05:35 - 01:06:30) Importance of Quality Data in Decision-Making (56 Seconds)
(01:08:42 - 01:10:33) Excitement for Data Contracts and LLMs (111 Seconds)
This episode is brought to you by Propel; from ingestion to visualization, Propel equips product engineering teams with
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1:11:50
Beyond Dashboards: Crafting Immersive Data-Driven User Experiences
In this episode, I'm thrilled to sit down with David Krevitt, a name synonymous with transforming data into actionable insights. David is the brain behind the fascinating new endeavor, CacheWorthy, a platform dedicated to helping businesses leverage data more effectively and efficiently. With a rich background in data analytics and a passion for making complex concepts accessible, David is here to share his journey, insights, and the vision behind CacheWorthy.
We take a trip down the rabbit hole of Vertical-Specific Data Apps. David shares his insights on what they are and how he's built them in the past, channeling his experience from his time at Blackrock.
Conversation highlights:
Building Data Communities and Experiences
Value and Analytics in Communication Products
Vertical Data Apps and Customer Utility
Selling Templates for Digital Agencies
User Expectations and Vertical Data Apps
Using Data to Drive Product Messaging
This episode was sponsored by Propel -
Give your customers fast and delightful analytics.
From ingestion to visualization, Propel equips product engineering teams with the most complete platform to ship awesome analytics products.
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1:14:46
Architecting the Future of Data Analytics: Conversational AI and Transformative Technologies with Sergio Leone
Sergio Leone returns to our podcast, bringing with him a revolution that's reshaping how we interact with data analytics. Imagine transforming intricate data queries into simple English dialogue and then watching as personalized visualizations appear before your eyes. That's the power of Sergio's latest endeavor, where he marries Retrieval Augmented Generation with GraphQL, creating a conversational assistant that's both intelligent and intuitive. We tackle the complexities of conversational AI, discussing how to address the challenges of token economy and relevance in large language models like GPT-4. Join us as we reveal the inner workings of this system and how it's set to break barriers across various industries.
Diving into the technical realm, the episode zooms in on the wonders of monorepo architecture and how it fosters collaboration in open-source projects. I share my insights on tooling up with Turbo repo and Yarn workspaces and how we're crafting a developer-friendly environment that spurs innovation. We also touch on the magic behind function calls, which empowers AIs to shoulder tasks like data analysis and decision-making. It's not just about building technology; it's about building it right, making it robust and versatile for creators and users alike.
Wrapping up the episode, we explore how this technology isn't just for show — it has tangible benefits in the real world. We delve into the practical application of vector stores in production environments, giving you a glimpse into how these systems enhance performance and customer results. Sergio offers his firsthand experience, affirming the impact of choosing the right data storage solutions. Each chapter of this episode is a step further into the future of AI and data analytics, and you're invited to journey with us as we push the boundaries of what's possible.
RAG/GraphQL Code from Sergio: https://github.com/cbnsndwch/propeldata-rag-cli
Propel GraphQL: https://www.propeldata.com/docs/api/about-the-graphql-api
ChatHQ: https://www.chathq.io/
Data Chaos is a deep-dive podcast focusing on the people, technologies, and all things surrounding the journey of data in today's companies. We'll cover topics like founder stories in the data space, data architecture, technical solutions, APIs, and much more.
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