Episodios

  • The Impacts Of Generative AI For Data Integration

    The Impacts Of Generative AI For Data Integration
    Jun 8 2023
    Scott Brokaw, Director of Product Management, Data Integration at IBM, begins by introducing the concept of generative AI and its role in data integration. He explains how this cutting-edge technology utilizes machine learning algorithms to autonomously generate, enhance, and fuse disparate data sources, enabling organizations to derive valuable insights and make informed decisions. Tune in and gain a deeper understanding of the transformative power of generative AI in data integration and its far-reaching impacts on businesses, industries, and society as a whole.
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    32 m
  • All Things Airflow: Past, Present And Future

    All Things Airflow: Past, Present And Future
    Mar 23 2023
    Are you curious about the evolution of Apache Airflow? In this episode, we discuss the open-source platform used by data engineers worldwide to program and monitor workflows. Joined together with Marc Lamberti's expert insights and analysis of his experiences with Airflow, he covers the history, key takeaways, and tips for getting started with the popular tool. Whether you're a data engineer or just interested in learning more about workflow management tools, this episode is designed to keep listeners engaged with a practical and resourceful discussion.
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    29 m
  • Data Quality Through The Lens Of An Analytics Engineer

    Data Quality Through The Lens Of An Analytics Engineer
    Feb 24 2023
    Following the journey of an analytics engineer as they navigate through the challenges of data quality is no easy task. Fortunately, we were happy to be joined by Madison Schott, an Analytics Engineer over at Winc. With her expertise, she helps describe the importance of maintaining clean and accurate data in the analytics process. She also goes into greater detail on common data quality issues and their potential causes from her own point of view.
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    32 m
  • The Future Of Data Fabric And Data Integration

    The Future Of Data Fabric And Data Integration
    Dec 7 2022
    As our first guest from IBM, we are thrilled to have Jessica Snyder, Product Director for IBM Data Integration, stop by MAD Data Studio to talk about the past, future, and next big thing for the Data Fabric. We also dive deeper into the topic of Data Integration and how it's quickly gaining popularity within modern data teams.
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    36 m
  • How To Reduce Data System Complexities

    How To Reduce Data System Complexities
    Nov 9 2022
    Identifying the key factors of data system complexities and how to reduce them is critical for any company. Joseph Machado, Senior Data Engineer at LinkedIn, shares his insights on ways to keep data systems from becoming unwieldy. In addition, Joseph offers tips for data teams to manage their data warehouses and keep data pipelines running reliably.
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    40 m
  • How Incident Management Supplements Data Governance

    How Incident Management Supplements Data Governance
    Oct 17 2022
    Matthew Blasa, a Data Scientist at The Home Depot, stopped by the MAD Data Studio to talk about how incident management as a part of observability and governance can affect various data areas. Learn how Matthew and his team tackle data observability, as well as different ways of approaching data governance on a small scale versus an enterprise scale. Check out Matt's Medium @ https://blaza-matt.com/
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    33 m
  • How Engineering Can Deliver Better Value For Data Science

    How Engineering Can Deliver Better Value For Data Science
    Sep 16 2022
    Neelesh Salian is a Staff Software Engineer at dbt Labs, creators, and maintainers of dbt. Neelesh stopped by the MAD Data Studio to talk about how engineering can deliver better value for data science. Get in touch with him on LinkedIn or check out his Substack – hysterical.substack.com
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    44 m
  • Lessons Learned Building World-Class Data Engineering Teams

    Lessons Learned Building World-Class Data Engineering Teams
    Aug 11 2022
    Sid Anand, Chief Architect & Head of Engineering at Datazoom, dropped by to give his lessons learned in building world-class data engineering teams at Ebay, Netflix, LinkedIn, and PayPal. For anyone who's leading a team now or in the future, you don't want to miss Sid's insights in working at some of the world's biggest brands.
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    54 m