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Innehåll tillhandahållet av dbt Labs, Inc. and Dbt Labs. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av dbt Labs, Inc. and Dbt Labs eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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The Analytics Engineering Podcast explicit
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Innehåll tillhandahållet av dbt Labs, Inc. and Dbt Labs. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av dbt Labs, Inc. and Dbt Labs eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Tristan Handy has been curating the Analytics Engineering Roundup newsletter since 2015, pulling together the internet’s best data science & analytics articles. Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering. You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com. The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com.
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73 episoder
Markera alla som (o)spelade ...
Manage series 2954568
Innehåll tillhandahållet av dbt Labs, Inc. and Dbt Labs. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av dbt Labs, Inc. and Dbt Labs eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Tristan Handy has been curating the Analytics Engineering Roundup newsletter since 2015, pulling together the internet’s best data science & analytics articles. Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering. You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com. The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com.
…
continue reading
73 episoder
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1 Building a data team from the beginning (w/ Daniel Avancini) 50:12
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Daniel Avancini is the chief data officer and co-founder of Indicium —a fast-growing data consultancy started in Brazil. There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium’s journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pipeline with courses and an internal onboarding process that takes new employees from zero to 60 over a few months. The result has been phenomenal and Indicium delivers great client outcomes, but most importantly, they're building skills for hundreds of brand new data professionals. Data is a hard field to break into because fundamentally you can't do the real thing unless you have access to data. So any company that is investing in building scalable hiring and training processes for analytical talent is one to be excited about. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 Data engineering at Snowflake (w/ Rahul Jain) 44:04
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A look inside at the data work happening at a company making some of the most advanced technologies in the industry. Rahul Jain, data engineering manager at Snowflake, joins Tristan to discuss Iceberg, streaming, and all things Snowflake. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer) 50:37
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Hamilton Ulmer is working at the intersection of UI, Exploratory Data Analysis, and SQL at MotherDuck, and he's built a long career in EDA. Hamilton and Tristan dive deep into the history of exploratory data analysis. Even if you spend most of your time below the frontend layer of the stack, it is important to understand the trends in both the practice of data visualization and the technologies that underlie that practice. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 Making data movement as reliable as electricity (w/ Taylor Brown) 46:40
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Fivetran recently passed $300 million ARR and has over 7,000 customers globally. Taylor Brown, the cofounder and COO of Fivetran, joins the show to talk about Fivetran’s moat, the impact of AI on the data ingestion space, and open table formats and catalogs. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 Data as an assembly line (w/ Cedric Chin) 51:11
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Cedric Chin runs Commoncog—a publication about accelerating business expertise. He joins Tristan to talk about the analytics development lifecycle, how organizations value (or misvalue) data, and why “data teams are not some IT helpdesk to be ignored.” For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 The data jobs to be done (w/ Erik Bernhardsson) 42:55
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Erik Bernhardsson, the CEO and co-founder of Modal Labs, joins Tristan to talk about Gen AI, the lack of GPUs, the future of cloud computing, and egress fees. They also discuss whether the job title of data engineer is something we should want more or less of in the future. Erik’s not afraid of a spicy take, so this is a fun one. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 Coalesce 2024 edition: What’s next for data teams? (w/ Scott Breitenother) 44:23
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Show description: Scott Breitenother, founder of data consultancy Brooklyn Data Co., joins Tristan at Coalesce 2024 in Las Vegas to discuss the early days of dbt, the evolution of data teams, and what's next for the dbt community. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 The current state of the AI ecosystem (w/ Julia Schottenstein) 45:44
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Former co-host Julia Schottenstein returns to the show to go deep into the world of LLMs. Julia joined LangChain as an early employee, in Tristan’s words, to “Basically solve all of the problems that aren't specifically in product and engineering.” LangChain has become one of, if not the primary frameworks for developing applications using large language models. There are over a million developers using LangChain today, building everything from prototypes to production AI applications.…
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1 Creating value from GenAI in the enterprise (w/ Nisha Paliwal) 45:20
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Nisha Paliwal, who leads enterprise data tech at Capital One, joins Tristan to discuss building a strong data culture for in the world of AI. She is the co-author of the book Secrets of AI Value Creation. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 Developer productivity on GitHub Copilot (w/ Eirini Kalliamvakou) 53:59
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Dr. Eirini Kalliamvakou is a senior researcher at GitHub Next. Eirini has built a career on studying software engineers, how to measure their productivity, how developer experience impacts productivity, and more. Recently, Eirini has been working on quantifying the impacts of GitHub Copilot. Does it actually help software engineers be more productive? Tristan and Eirini explore how to quantify developer productivity in the first place, and finally, arriving at whether or not Copilot makes a difference. In the search for real business value, this research is a real bellwether of things to come. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs. Join data practitioners and data leaders this October in Las Vegas at Coalesce, the analytics engineering conference hosted by dbt Labs. Register now at coalesece.getdbt.com . Listeners of this show can use the code podcast20 for a 20% discount.…
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1 The rapid experimentation of AI agents (w/ Yohei Nakajima) 45:55
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Yohei Nakajima is an investor by day and coder by night. In particular, one of his projects, an AI agent framework called BabyAGI that creates a plan-execute loop, got a ton of attention in the past year. The truth is that AI agents are an extremely experimental space, and depending on how strict you want to be with your definition, there aren't a lot of production use cases today. Yohei discusses the current state of AI agents and where they might take us. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 Funnel analytics and AI models for event sequences (w/ Misha Panko) 44:09
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Misha Panko has worked in data for a long time, including on high performance data teams at Uber and Google. Today, Misha is the co-founder and CEO of Motif Analytics , a product focused on helping growth and ops teams understand their event data. In this episode, Tristan and Misha nerd out about the state of the art in computational neuroscience, where Misha got his PhD. They then go deep into event stream data and how it differs from classical fact and dimension data, and why it needs different analytical tools. Make sure to check out the back half of the episode, where they dive into AI and how Motif is applying breakthroughs in language modeling to train foundation models of event sequences— check out his team’s blog post on their work . For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
Eric Avidon is a journalist at TechTarget who's interviewed Tristan a few times, and now Tristan gets to flip the script and interview Eric. Eric is a journalist veteran, covering everything from finance to the Boston Red Sox, but now he spends a lot of time with vendors in the data space and has a broad view of what's going on. Eric and Tristan discuss AI and analytics and how mature these features really are today, data quality and its importance, the AI strategies of Snowflake and Databricks, and a lot more. Plus, part way through you can hear Tristan reacting to a mild earthquake that hit the East Coast. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.…
Barry McCardel is the co-founder and CEO of Hex . Hex is an analytics tool that's structured around a notebook experience, but as you'll hear in the episode, goes well beyond the traditional notebook. We're big fans of Hex at dbt Labs, and use it for a bunch of our internal data work. In this episode, Barry and Tristan discuss notebooks and data analysis, before zooming out to discuss the hype cycle of data science, how AI is different, the experience of building AI products, and how AI will impact data practitioners. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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1 The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turck) 36:22
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Matt Turck has been publishing his ecosystem map since 2012. It was first called the Big Data Landscape. Now it’s the Machine Learning, AI & Data (MAD) Landscape . The 2024 MAD Landscape includes 2,011(!) logos, which Matt attributes first a data infrastructure cycle and now an ML/AI cycle. As Matt writes, “Those two waves are intimately related. A core idea of the MAD Landscape every year has been to show the symbiotic relationship between data infrastructure, analytics/BI, ML/AI, and applications.” Matt and Tristan discuss themes in Matt's post: generative AI’s impact on data analytics, the modern AI stack compared to the modern data stack , and Databricks vs. Snowflake (plus Microsoft Fabric). For full show notes and to read 7+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com . The Analytics Engineering Podcast is sponsored by dbt Labs.…
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