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<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/peak-travel">Peak Travel</a></span>
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Travel can do amazing things: broaden horizons, build relationships, and rejuvenate the soul. But often, those experiences come at a cost. This is Peak Travel, a new podcast from WHYY about how travel shapes communities in hot-spots around the world. We’ll share the wonder that comes with exploring new places, as well as the harm that our worst travel habits can cause. And we’ll try to figure out how we can do it better. Each episode transports you to a new destination. You’ll meet the people who call that place home, hear their stories, and come to understand how tourism has changed their everyday lives. Supported by rich, on-location sound from around the world, Peak Travel unpacks the $1.9 trillion travel industry and its impact on people and the planet.
The Data Engineering Show
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Inhalt bereitgestellt von The Data Bros and The Firebolt Data Bros. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The Data Bros and The Firebolt Data Bros oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory. Learn from the biggest influencers in tech about their practical day-to-day data challenges and solutions in a casual and fun setting. SEASON 1 DATA BROS Eldad and Boaz Farkash shared the same stuffed toys growing up as well as a big passion for data. After founding Sisense and building it to become a high-growth analytics unicorn, they moved on to their next venture, Firebolt, a leading high-performance cloud data warehouse. SEASON 2 DATA BROS In season 2 Eldad adopted a brilliant new little brother, and with their shared love for query processing, the connection was immediate. After excelling in his MS, Computer Science degree, Benjamin Wagner joined Firebolt to lead its query processing team and is a rising star in the data space. For inquiries contact tamar@firebolt.io
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55 Episoden
Alle als (un)gespielt markieren ...
Manage series 3418247
Inhalt bereitgestellt von The Data Bros and The Firebolt Data Bros. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von The Data Bros and The Firebolt Data Bros oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory. Learn from the biggest influencers in tech about their practical day-to-day data challenges and solutions in a casual and fun setting. SEASON 1 DATA BROS Eldad and Boaz Farkash shared the same stuffed toys growing up as well as a big passion for data. After founding Sisense and building it to become a high-growth analytics unicorn, they moved on to their next venture, Firebolt, a leading high-performance cloud data warehouse. SEASON 2 DATA BROS In season 2 Eldad adopted a brilliant new little brother, and with their shared love for query processing, the connection was immediate. After excelling in his MS, Computer Science degree, Benjamin Wagner joined Firebolt to lead its query processing team and is a rising star in the data space. For inquiries contact tamar@firebolt.io
…
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55 Episoden
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The Data Engineering Show
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In this episode of The Data Engineering Show , the bros sit with Daniel Pálma, Head of Marketing at Estuary. Join them as they; Talk about Daniel’s career transition from data engineering to marketing and how his background in data engineering has been a tremendous help to his marketing competence. Discuss the role of AI in the evolution of data movement ensuring a faster and easier process of creating data pipelines. Shine light on the challenges of vector databases and structured data in AI applications. Delve into the future of Apache Iceberg and data lakehouses, highlighting their current challenges. Shares insights on the golden age of data expressing the need for more data engineers, data analysts and data practitioners in the data space. If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts, instructions on how to do this are [insert link]. Daniel Pálma serves as Head of Marketing at Estuary, bringing a unique blend of technical expertise and marketing acumen to the data integration space. With nearly a decade of experience as a data engineer across startups, enterprises, and consulting roles, Daniel made a strategic pivot to marketing to help bridge the gap between complex technical solutions and their practical applications for data practitioners. His background in data engineering enables him to deeply understand the customers' challenges and create authentic, education-focused marketing content that resonates with technical audiences. Daniel’s thought leadership and content creation in the data engineering space, combined with his hands-on technical experience, positions him as a valuable voice in conversations about the evolution of data infrastructure and integration technologies. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
In this episode of The Data Engineering Show, host Benjamin and co-host Eldad sit with Chad Sanderson, CEO and co-founder of Gable AI to explore the interesting world of data change management. Join them as they: Delve into challenges of data quality, how it degrades over time and the one-sided data quality checks on the “last mile” of the data supply chain. Talk about how Gable works through a 3-layer flow of technology which is to identify data production points, trace the data flow and communicate the impact of changes before they reach production. Explain why the gap between data producers and consumers need to be bridged and how Gable continues to emphasize the need for effective communication and understanding data change management across teams Shine light on how AI can enhance data management by extracting semantics from code and effectively manage the translation output. Discuss Chad’s vision for 2025 which is to help companies start to care about data and how the changes made to data affect other people. Chad Sanderson is the CEO and co-founder of Gable AI, a data change management platform. Chad has over a decade of experience in data engineering and infrastructure space, holding significant roles at major companies like Microsoft, Oracle, Sephora where he focused on data quality and governance challenges. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. His journey from data scientist to data engineer and ultimately to CEO was driven by a desire to transform how organizations manage and utilize data. Gable AI addresses the complexities of the data supply chain, by providing tools for code scanning, data contracts and governance as code, enabling teams to proactively manage data changes and impact. If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube. Episode Resources Gable AI website Chad Sanderson on LinkedIn The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
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The Data Engineering Show
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Wouter Trappers is the founder of Xudo and shares his slightly unconventional path from philosopher to data consultant with the Bros in this latest episode of The Data Engineering Show. Wouter’s grounding in philosophy has proved to be a shaping influence on his approach to business intelligence. Much more than just a software solution, for Wouter, BI is all about change management and aligning leadership with data projects. They discuss: From Excel to Expert: From basic Excel tasks to a full mastery of BI tools like QlikView, Wouter has blended his technical and philosophical approaches to data to become a bona fide expert. Data Strategy as Transformation: Good change management principles have to be adhered to if a BI project is going to bear fruit. Focus on leadership alignment, KPI clarity, and user empowerment instead of simply implementing software. Challenges of Starting Small: Wouter has some tips to offer smaller companies around bootstrapping their data journey using existing tools, practical education, and even Gen AI. Balancing Scales: Smaller startups compared to large enterprises face a very different set of challenges. Wouter’s combination of philosophy and pragmatism brings fresh takes to building effective data solutions. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
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The Data Engineering Show
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1 Data Rewind: Conversation Highlights from Zach Wilson, Matthew Housley, Joe Reis, and Krishnan Viswanathan 28:02
In this special roundup episode of The Data Engineering Show , the Bros revisits some of the best bits from episodes with data thought leaders Zach Wilson, Matthew Housley, Joe Reis, and Krishnan Viswanathan, spotlighting essential trends and lessons learned across the evolving data engineering landscape. From data observability to bridging academia with real-world practice, this episode covers perspectives on where data engineering is heading and why certain challenges persist. Topics include: Foundations of Data Engineering : Zach Wilson emphasizes the importance of core, tech-agnostic skills in data modeling, quality assurance, and storytelling. By sharing his experiences at Airbnb and in education, he reveals that effective data engineering hinges on creating robust data models, quality controls, and persuasive narratives rather than expertise in any single tool or language. Bridging Academia and Practice: Matthew Housley and Joe Reis delve into the need for better data education, emphasizing hands-on experience and data fundamentals over tool-specific training, and advocate for apprenticeships and real-world collaborations in educational settings. Legacy Meets Modern in Data Engineering: Krishnan Viswanathan reflects on recurring themes in data engineering and the importance of adapting legacy approaches to new data needs, underscoring the challenges and benefits of vendor-built versus in-house solutions. Join the Bros for a well-rounded exploration of current themes in data engineering, filled with practical advice for data professionals at any stage of their journey. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
In this episode of The Data Engineering Show , the bros, Eldad and Benjamin are joined by Ryanne Dolan from LinkedIn to discuss the innovative Hoptimator (H2) project. This conversation reveals how LinkedIn has improved its data pipelines by automating the setup and management of complex workflows. Together they cover: Automated Data Pipelines: Ryanne explains how Hoptimator allows users to create and manage data pipelines using just a simple SQL SELECT query, streamlining the process of setting up Kafka topics, Flink jobs, and schemas. Integration with Kubernetes: The project utilizes Kubernetes to handle infrastructure tasks, treating Kubernetes as a database for managing state. This integration simplifies the orchestration of data workflows and automates routine tasks. Consumer-Driven Model: Ryanne discusses the shift from a producer-driven to a consumer-driven data model, emphasizing the importance of understanding and addressing consumer needs to reduce engineering complexity and optimize data systems. Future of Data Engineering: The conversation touches on the ongoing experimental nature of Hoptimator and its potential to transform data engineering practices, highlighting its impact on LinkedIn's data infrastructure. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
SQL’s slow. SQL’s stupid. We hear these claims every time a new shiny tool enters the market, only to realize five years later when the hype dies down that SQL is actually a good idea. In this super techie episode of the Data Engineering Show, Andy Pavlo, Associate Professor at Carnegie Mellon University, joins the bros to delve into database internals and optimization. Andy discusses leveraging ML for autonomous database optimization, using Postgres for practical applications, tuning production databases safely, and why SQL is here to stay. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
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The Data Engineering Show
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Too often expensive resources and manhours are spent on dashboards no one uses, resulting in zero ROI. Philip Philip Zelitchenko, VP of Data & Analytics at ZoomInfo met the bros to talk about adopting product management principles to ensure data projects have value, and provide an unfiltered peak into ZoomInfo’s data stack and unique tech culture. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
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The Data Engineering Show
![The Data Engineering Show podcast artwork](/static/images/64pixel.png)
Matthew Weingarten, Lead Data Engineer at Disney Streaming, talks about principles essential for data quality, cost optimization, debugging, and data modeling, as adopted by the world's leading companies. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
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The Data Engineering Show
![The Data Engineering Show podcast artwork](/static/images/64pixel.png)
Data engineering should be less about the stack and more about best practices. While tools may change, foundational principles will remain constant. Joseph Mercado, Senior Data Engineer at LinkedIn, is on The Data Engineering Show to talk about principles that are key to success, leveraging AI for automation, and adopting software engineering methods. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
Joe Hellerstein is the Jim Gray Professor of Computer Science at Berkeley and Joseph Gonzalez is an Associate Professor in the Electrical Engineering and Computer Science department. They’ve inspired generations of database enthusiasts (including Benji and Eldad) and have come on the show to talk about all things LLM and RunLLM which they co-founded. If you consider yourself a hardcore engineer, this episode is for you. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
There are two types of data influencers on LinkedIn: 1. Those who talk directly about the products and companies they work for 2. Those that provide more general guidance, tips and opinions Can influencers actually be passionate about the products they’re developing and straightforwardly talk about them without sounding salesly? We’re kicking off 2024 with the amazing Megan Lieu on a new Data Engineering Show episode. Megan is one of those influencers that combine the two approaches, and with almost 100K followers, her content seems to be resonating with many data folks. She talked to the bros about her approach to data advocacy as well as the power of notebooks, especially when they become broader and enable collaboration. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
Every data team should have at least one data engineer with a software engineering background. This time on The Data Engineering Show, Xiaoxu Gao is an inspiring Python and data engineering expert with 10.6K followers on Medium. She’s a data engineer at Adyen with a software engineering background, and she met the bros to talk about why both software and data engineering skills are so important. Without software engineering skills you’ll be limited to the rigid capabilities of your stack. But without data engineering skills you’ll find it hard to be cost effective and see the bigger picture. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
Vin Vashista, the guy we all love to follow, has never seen a dashboard with positive ROI. This time on The Data Engineering Show, he met the bros to talk about the difference between BI dashboards and analytics that actually introduce knowledge. It’s no longer just about the data volume, it’s about quality and relevance. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
After co-writing the best-selling book ‘Fundamentals of Data Engineering’, Joe Reis and Matt Housely joined the bros for some much-needed ranting, priceless data advice, and good laughs. So why are we still talking about providing business value and dashboards, even though we don’t really have anything new to say? If there are so many great tools in the data stack, why are we still so troubled? How can we focus more on things like data governance and data quality that’ll actually push the industry forward? The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
As people in the data industry go, Bill Inmon is among the top, often seen as the godfather of the data warehouse. In this Data Engineering Show episode, Bill Inmon talks about surviving rabbit holes throughout the evolution of data, the data modeling renaissance, and why ChatGPT is not Textual ETL. The Data Engineering Show is handcrafted by our friends over at: fame.so Previous guests include: Joseph Machado of Linkedin, Metthew Weingarten of Disney, Joe Reis and Matt Housely, authors of The Fundamentals of Data Engineering, Zach Wilson of Eczachly Inc, Megan Lieu of Deepnote, Erik Heintare of Bolt, Lior Solomon of Vimeo, Krishna Naidu of Canva, Mike Cohen of Substack, Jens Larsson of Ark, Gunnar Tangring of Klarna, Yoav Shmaria of Similarweb and Xiaoxu Gao of Adyen. Check out our three most downloaded episodes: Zach Wilson on What Makes a Great Data Engineer Joe Reis and Matt Housley on The Fundamentals of Data Engineering Bill Inmon, The Godfather of Data Warehousing…
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