SQL Lingua Franca

Juan Manuel Perafan

Welcome to "SQL Lingua Franca," the podcast about analytics! Expect deep dives into data topics and unfiltered conversations with data experts.

  1. 2025/06/20

    #16 - Sarah Levy - Data Governance vs. AI

    🎙️ ⁠Sarah Levy: Co-Founder & CEO at Euno https://euno.ai In this episode of SQL Lingua Franca, Sarah Levy, co-founder and CEO of Yuno, discusses data model governance, semantic layers, and the path to AI adoption. She outlines the challenges of managing inconsistent business logic, the limitations of data catalogs, and the importance of metric utilization in driving governance decisions. The conversation covers the balance between analyst flexibility and centralized control, the shortcomings of existing observability tools, and the shift of dbt modeling responsibilities back to engineers. Sarah also shares findings from interviews with over 300 data teams and emphasizes the often-overlooked role of senior analysts in delivering business value.

  2. 2025/01/30

    #15 - Dumky de Wilde - Hot Takes Special

    🎙️ ⁠Dumky de Wilde: Analytics Engineer at Xebia In this podcast episode, the host welcomes Dumky, an analytics engineer from Amsterdam and co-author of Fundamentals of Analytics Engineering. Dumky shares his journey in the data world, discussing his background, experiences, and the evolving landscape of analytics engineering. This special "Hot Takes" edition dives into bold opinions on SQL, modern data tooling, and the role of analytics professionals in an ever-changing industry. During the episode, we explore common misconceptions in analytics, the challenges of working with modern data stacks, and the relevance of SQL in an AI-driven world. Dumky emphasizes the importance of software engineering principles in analytics, the need for critical thinking in data work, and how professionals can adapt to new technologies. Whether you're an experienced data practitioner or just starting, this episode offers thought-provoking insights and practical takeaways.

  3. 2025/01/23

    #14 - Lasse Benninga - Open Source Software in Data

    🎙️ ⁠Lasse Benninga: Analytics Engineer at Xebia In this podcast episode, the host introduces Lasse, an analytics engineer from Utrecht with a diverse background in software engineering and data analytics. Lasse shares his journey into the data world, highlighting his experiences transitioning from software development to analytics engineering, including his work on predictive maintenance for KLM's aircraft fleet. During the episode, we discussed the importance of understanding data quality, the challenges faced when working with large datasets, and the value of collaboration within mature data teams. Lasse emphasizes the significance of personal projects in developing skills and the role of open-source contributions in the analytics community.

  4. 2024/12/11

    #13 - Guillermo Sanchez - The Evolution of Analytics Engineering

    🎙️ ⁠Guillermo Sanchez: Principal Consultant at Xebia In this episode of SQL Lingua Franca, we explore the dynamic shifts in analytics engineering over the past four years. Together, they dive into the transformation of the modern data stack, from traditional tools like dbt to innovative platforms like SQLMesh. They also touch on the cutting-edge developments at Databricks and discuss how these advancements are reshaping the role of analytics engineers. Tune in to hear expert insights, practical advice, and thought-provoking discussions that bridge the gap between theory and real-world application. Whether you're a seasoned data professional or just stepping into analytics, this episode offers valuable perspectives on the future of data and analytics engineering.

  5. 2024/11/20

    #12 - Thomas in't Veld - Data Maturity & The Future of Analytics

    🎙️ ⁠Thomas in't Veld: CEO & Co-Founder at Tasman Analytics In this episode of SQL Lingua Franca, Thomas shares actionable strategies for helping companies advance their data maturity. From moving beyond basic dashboards to building scalable data systems, he explains how businesses can use composable architectures and modern tools to gain actionable insights faster. Thomas discusses common challenges, such as balancing quick iterations with long-term data strategy and avoiding "project hell," where teams get stuck in endless feedback cycles. He also explores how the role of analysts is changing with automation, focusing on deeper business-driven analysis instead of routine reporting. Whether you're setting up your first data team or scaling your data capabilities, this episode offers practical advice for making data a true driver of business success.

  6. 2024/10/20

    #11 - Mariam Halfhide - Responsible AI

    🎙️ ⁠Mariam Halfhide: Practice Lead Responsible AI at Xebia In this episode of SQL Lingua Franca, Mariam Halfhide, a data strategy expert, shares practical insights on integrating responsible AI into business operations. She explains how organizations can define ethical principles, implement governance frameworks, and address challenges like AI bias and privacy risks. Mariam also discusses real-world examples, such as the misuse of biometric data and the potential dangers of deepfakes. Tune in to learn how businesses can align their AI strategies with core values, navigate regulatory requirements, and build multidisciplinary teams to manage risks effectively. Whether you're a tech professional or interested in the societal impact of AI, this episode offers actionable advice for using AI responsibly.

  7. 2024/10/07

    #10 - Ruben Huidekoper - Analytics Engineering

    🎙️ ⁠Ruben Huidekoper: Analytics Engineer at Xebia In this episode of the SQL Lingua Franca podcast, guest Ruben Huidekoper shares his journey as an analytics engineer. He talks about the broad scope of the role, which involves translating business needs into technical data solutions, working on data modeling, and overseeing pipelines. Ruben emphasizes the versatility of the job, as it requires both strong technical skills and the ability to communicate effectively with stakeholders, making sure the data solutions align with business goals. Ruben also discusses the key traits that can help someone thrive in this field, particularly the need for curiosity and a willingness to continuously learn new tools and technologies. He reflects on the evolving nature of analytics engineering, which often overlaps with other data roles, offering flexibility and growth for those in the profession. This episode is a great listen for anyone considering a career in data or looking to understand more about the role of analytics engineers.

  8. 2024/09/21

    #9 - Travis Dent - DevOps & Project Management

    🎙️ ⁠Travis Dent: Data Engineer at Xebia In this episode, Travis, an experienced professional in data engineering and DevOps, shares his journey from robotics to data analytics. The discussion covers the importance of DevOps practices in data projects, addressing challenges like long-running pipelines and changing data schemas. Travis emphasizes the cultural aspects of DevOps, including collaboration, automation, and continuous improvement, while also touching on different levels of DevOps knowledge for data professionals. The conversation explores how project management and clear vision contribute to successful data initiatives. Travis and the host discuss how the data field can learn from other industries like aviation and construction, particularly reliability and alerting. The episode concludes with practical recommendations for listeners looking to enhance their DevOps skills, including book suggestions and online resources, making it valuable for data professionals aiming to improve their operational practices.

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番組について

Welcome to "SQL Lingua Franca," the podcast about analytics! Expect deep dives into data topics and unfiltered conversations with data experts.

情報

  • クリエイター
    Juan Manuel Perafan
  • 配信期間
    24年 - 25年
  • エピソード
    16
  • 制限指定
    不適切な内容を含む
  • Copyright
    © Juan Manuel Perafan
  • 番組のWebサイト
    SQL Lingua Franca