The Data T

Armon Petrossian and Satish Jayanthi
The Data T

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. 3 ИЮЛ.

    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/

    36 мин.

  2. 9 ИЮН.

    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/

    41 мин.

  3. 8 МАЯ

    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/

    33 мин.

  4. 3 АПР.

    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/

    45 мин.

  5. 1 АПР.

    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/

    46 мин.

  6. 24 ЯНВ.

    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

    30 мин.

  7. 13.12.2024

    SAP Migrations with David Richert and Edwin Commandeur

    In the final episode of Coffee with Coalesce for 2024, we travel to Europe to chat with David Richert, SAP Modernization Evangelist and Principal Sales Engineer at Snowflake, and Edwin Commandeur, Principal Field Product Manager (SAP) at Fivetran, about the challenges and innovations in data management and migration, particularly in the context of SAP systems. Hosted by Damien Walker and Glen Dawson, the conversation explores the benefits of shifting from application-centric to data-centric approaches to data management and highlights strategies for overcoming technical and organizational barriers in SAP migrations. Key topics include: Transitioning from application-centric to data-centric models: The shift to modern data platforms like Snowflake highlights the need to rethink data architectures.End-to-end data integration: The challenges in unifying SAP and non-SAP data underscores the importance of platforms like Fivetran in data modernization initiatives.Navigating SAP end-of-life decisions: Key considerations for organizations that face critical decisions as they approach end-of-life deadlines for certain SAP platforms.SAP migrations and cloud adoption: The benefits of moving SAP systems to the cloud and recommendations for addressing the challenges of legacy systems with modern, scalable solutions.Watch the video recording of this podcast episode here. Resources: Power SAP data transformations at scale Demo: Integrating SAP Data Into SnowflakeWith Fivetran, Coalesce and phData Coalesce Snowflake Fivetran Connect with the speakers: David Richert Edwin Commandeur Damien Walker Glen Dawson

    40 мин.

  8. 18.11.2024

    Data Orchestration with Hugo Lu

    In this episode of Coffee with Coalesce, Hugo Lu, CEO and founder of Orchestra, joins hosts Armon Petrossian and Satish Jayanthi to share the company’s founding story, discuss the challenges of building and selling an orchestration platform in an already crowded data space, his predictions on the main trends in data for 2025, and more. Listen to the full episode to find out more about: Orchestra’s founding storyChallenges in data orchestrationThe importance of data governanceEnabling a successful data mesh implementationNavigating a crowded data spaceIs column-level lineage really necessary?Inspiration from business leaders, and more. Watch the video recording of this podcast episode here. Resources: About OrchestraAbout CoalesceCoalesce podcastAnnouncing Orchestra's Integration with CoalesceData Orchestration is Evolving

    42 мин.
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Об этом подкасте

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.

Информация

  • Автор
    Armon Petrossian and Satish Jayanthi
  • Годы выхода
    2023 - 2025
  • Выпуски
    28
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © Coalesce Automation, 2023
  • Сайт подкаста
    The Data T

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