The Data T

Armon Petrossian and Satish Jayanthi
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Previously known as Coffee with Coalesce, The Data T is a monthly podcast hosted by Armon Petrossian and Satish Jayanthi, co-founders of Coalesce, the data transformation company. Each month, we invite industry experts, entrepreneurs, and executives to spill the tea on the data industry's hottest topics: from data modeling and data ops to AI and LLMs, data engineering trends and predictions, datapreneurship, and more.

  1. 9월 8일

    How AI Made Data Governance Sexy with Pierre Jr Cliche

    Data governance is far from anyone’s favorite topic, but at Infostrux it’s the superpower behind launching successful AI initiatives. In this episode of the Data T podcast, CEO Pierre Jr Cliche joins Coalesce co-founders Armon Petrossian and Satish Jayanthi to share how Infostrux rides today’s GenAI wave to get buy-in for data governance projects most execs would otherwise overlook: data cataloging, data lineage, and building data transformation frameworks that turn messy data into governed, production-ready assets. Learn how to build a value narrative that makes data governance feel like a growth and innovation enabler rather than a cost center, why a catalog and clear data roles are essential for AI accuracy, and how to get leadership genuinely excited about investing in “unsexy” data work. Key Topics The shift in data governance perceptionThe role of AI in data governanceWhy the majority of Gen AI projects failHow to get stakeholders’ buy-in for data governance initiativesTop challenges for data governance and the tools to solve them Resources: About Coalesce: https://coalesce.io/about/Coalesce podcast archive (The Data T): https://coalesce.io/podcast/

    44분

  2. 8월 4일

    Mid-Year Reality Check: Data Predictions With Mike Palmer

    With 2025 more than halfway over, it’s time to test this year’s bold data forecasts—and look ahead to what’s still coming. On this episode of The Data T, Sigma CEO Mike Palmer joins Coalesce co-founders Armon Petrossian and Satish Jayanthi to unpack where data and analytics are really heading in 2025. From rewriting Sigma’s platform on day 30 to calling time on traditional BI “insights,” Palmer explains why the next wave will be AI-powered, end-user apps built on a radically slimmer tool stack—and why data leaders should double the scope of their impact and bet bigger than ever. Key Topics Palmer’s path from Teach For America to Sigma CEOConsolidation in the data industry: from 50–100 analytics tools to ~20Why “insights” and text-to-SQL won’t democratize dataAI’s role in merging BI, apps, and workflow automationAdvice for data professionals Resources: About Coalesce: https://coalesce.io/about/Coalesce podcast archive (The Data T): https://coalesce.io/podcast/

    46분

  3. 7월 3일

    The Architect of Scale: Ion Stoica on Open Source, AI, and the Future of Data

    Ion Stoica is a professor of computer science at UC Berkeley, Co-Founder and Executive Chairman of Databricks, and a key architect of the Apache Spark project. Most recently, he’s the Co-Founder of Anyscale, which leverages the open source Ray framework developed in-lab to enable scalable AI workloads, much like Spark revolutionized large-scale data processing. In this episode of The Data T, we chat with Stoica about his illustrious career, how his obsession with solving hard technical problems led him from networking research to peer-to-peer video, Apache Spark, and ultimately Databricks. He recounts turning Spark’s open-source momentum into a successful enterprise business, crediting speed of execution and targeted hiring for the company’s rise and urging founders to move fast and recruit experienced operators early. Stoica warns that tomorrow’s workloads will demand vertically integrated, multi-accelerator systems. Optimistic yet realistic about AI, he sees reliability and “human-in-the-loop” workflows as today’s gating factors and advises data professionals to embrace continuous learning as the industry accelerates. Hosted by Armon Petrossian and Satish Jayanthi, co-founders of Coalesce. Key topics: The origins of Apache Spark and DatabricksCommercializing open source projectsScaling AI infrastructure complexityAdvice for data practitioners Resources: About Coalesce: https://coalesce.io/about/Coalesce podcast archive (The Data T): https://coalesce.io/podcast/

    36분

  4. 6월 9일

    Model as You Go: A New Take on BI

    In this episode of The Data T podcast, Armon Petrossian and Satish Jayanthi sit down with Colin Zima, co-founder and CEO of Omni, to talk about what it takes to reinvent business intelligence. Colin shares his journey from Looker’s early days to building Omni, the lessons learned along the way, and his philosophy of ruthless pragmatism when it comes to data modeling, product development, and AI. The conversation dives deep into the evolving BI landscape, the importance of semantics in AI, and how building trust—whether with customers or stakeholders—can be the real engine of innovation. If you're into the future of data platforms, building in public, or just want to hear what happens when two modern data stack founders compare notes, this one's for you. Main topics: Early startup challenges and reflectionsThe evolving BI landscape The evolution of the Modern Data Stack Perspectives on data modeling The role of semantic layers in AI Hot takes in data analytics Collaboration as a key to success Building trust in data teams Resources: About Omni: https://omni.co/ About Coalesce: https://coalesce.io/about/ Coalesce podcast archive (The Data T): https://coalesce.io/podcast/

    41분

  5. 5월 8일

    Data Therapy in the Age of Relentless Innovation and AI

    In this episode of The Data T podcast, Armon Petrossian and Satish Jayanthi talk with Nicho Mann, founder and CEO of Stratos Consulting, about the emotional and operational challenges facing data professionals today. Nicho introduces the idea of “data therapy” — a way to talk about the mounting pressure, backlog, and burnout that teams are experiencing as AI hype accelerates. With firsthand stories from the biotech and pharmaceutical space, he explains how many companies are overwhelmed, under-resourced, and unsure how to move forward. The conversation digs into how to focus on what matters, where AI is genuinely helping, and why a more agile, empathetic approach to data work is urgently needed. Main topics: “Data therapy” concept AI: hype and expectations vs. reality Overwhelmed data teams Executive pressure to innovate Automating manual, repetitive tasks Optimizing data frameworks for AI The importance of subject matter expertise How to stay grounded in fast change Resources: About Stratos Consulting: https://stratosconsulting.com/ About Coalesce: https://coalesce.io/about/ The Data T archive: https://coalesce.io/podcast/

    33분

  6. 4월 3일

    AI-Driven Data Catalogs

    Fresh off the announcement of Coalesce acquiring AI-driven data catalog company CastorDoc, now Coalesce Catalog, co-founders Tristan Mayer and Xavier de Boisredon join the Data T podcast to talk about how it all came together, why his marks a major shift in the industry, how the Modern Data Stack is evolving, and what’s next. The conversation highlights both companies’ shared vision of making data governance simpler, more intuitive, and embedded early in the data lifecycle. The founders break down three categories of AI applications in data—AI-assisted governance, metadata-driven analytics, and enterprise AI use cases—and stress how strong data foundations are essential to enable all of them. Watch the full episode to learn more about the challenges of making data governance accessible and actionable to a broad range of data users, how organizations can solve those challenges by shifting governance left, and more. Key Topics CastorDoc’s founding storyShifting data governance leftExploring AI use cases in data governance and data catalogsBuilding trust through data strategyThe democratization of data skills and insightsResources ➡️ About Coalesce: https://coalesce.io/ ➡️ Practical Data Modeling Substack: https://practicaldatamodeling.substac... ➡️ Coalesce podcast archive: https://coalesce.io/podcast/

    45분

  7. 4월 1일

    Data Hot Takes with Joe Reis

    In this episode of The Data T, Joe Reis returns to discuss his journey since his last appearance on our podcast. We chat about the lasting impact of his book, Fundamentals of Data Engineering, and his latest focus on data modeling. Data modeling is the focus of Joe’s upcoming book, Practical Data Modeling, which he is writing publicly on his Substack. We also explore broader industry trends, including the hype around AI, the resurgence of data governance, and shifting perspectives on data modeling methodologies. Tune in to hear Joe’s candid takes on the impact of AI-generated code, the new “vibe coding” trend, and the importance of strong communities—both online and in-person—in reshaping professional networking in the data industry. Key Topics The resurgence of data modelingAI hype vs. realityData governance comebackCommunity-driven learningThe shift toward practical data frameworks Resources ➡️ About Coalesce: https://coalesce.io/ ➡️ Practical Data Modeling Substack: https://practicaldatamodeling.substac... ➡️ Coalesce podcast archive: https://coalesce.io/podcast/

    46분

  8. 1월 24일

    2025 Data Predictions with Tejas Manohar

    Welcome to the Data T! In our first podcast episode for 2025, hosts Armon Petrossian and Satish Jayanthi chat with Tejas Manohar, co-CEO and co-founder of Hightouch, about his predictions for the year ahead. The conversation covers the top trends in generative AI, customer engagement, and data infrastructure, with a deep dive into AI Decisioning, the latest innovation from Hightouch that uses continuous experimentation and reinforcement learning to optimize marketing strategies. Manohar provides insights into how organizations can better leverage their data platforms to activate data for marketing and operations, discusses the challenges in implementing Large Language Models (LLMs), the importance of foundational infrastructure for all AI initiatives, the emerging popularity of open-source table formats like Apache Iceberg, and more. Key topics include: Data predictions for 2025AI Decisioning from HightouchPractical use cases for leveraging LLMsGenerative AI: hype vs realityData infrastructure trends and innovations for 2025The future of AI in marketing Watch the video recording of this episode here. Resources: The Top Data Trends for 2025 Learn more about Coalesce Learn more about Hightouch Connect with the speakers: Tejas Manohar Armon Petrossian Satish Jayanthi

    30분
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소개

Previously known as Coffee with Coalesce, The Data T is a monthly podcast hosted by Armon Petrossian and Satish Jayanthi, co-founders of Coalesce, the data transformation company. Each month, we invite industry experts, entrepreneurs, and executives to spill the tea on the data industry's hottest topics: from data modeling and data ops to AI and LLMs, data engineering trends and predictions, datapreneurship, and more.

정보

  • 제작진
    Armon Petrossian and Satish Jayanthi
  • 방송 연도
    2023년 - 2025년
  • 에피소드
    30
  • 등급
    전체 연령 사용가
  • 저작권
    © Coalesce Automation, 2023
  • 웹사이트 보기
    The Data T

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