How innovations like GitOps for Data and the Write-Audit-Publish pattern can help fulfill that promise
In today’s data-driven world, the quality of data can be the difference between success and failure for businesses. This insightful webinar delves into the complexities of 'bad data,' exploring its sources, impacts, and the shortcomings of traditional approaches to managing it. Join us for a comprehensive session that not only identifies the problems but also offers practical, cutting-edge solutions.

This webinar is ideal for data analysts, data engineers, IT professionals, and business leaders who are looking to understand the challenges of bad data and explore innovative solutions. Whether you’re grappling with data quality issues or looking for ways to improve your data management strategies, this webinar will provide valuable insights and practical solutions.

  • What's the impact of bad data?
  • What are the main sources of bad data?
  • How are companies dealing with the challenge of bad data today?
  • What are the shortcomings of existing coping approaches?
  • Best practices for preventing bad data: Introducing "Write-Audit-Publish" as a data engineering pattern.
  • Future solutions: Brief overview of the solution landscape of tomorrow
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    Hung Dang
    CEO & Founder @Y42
    Hung Dang is the founder and CEO of Y42, the Turnkey Data Orchestrator with built-in Observability that helps companies design production-ready data pipelines on top of their Google BigQuery or Snowflake data warehouse.

    He spent over 8+ years working in the data space and founded two successful data analytics companies.

    After being frustrated with all the various tools needed to build out a proper data infrastructure, he was inspired to build a product that enables everyone to achieve maximum efficiency through a deep analytical understanding of their business.

    The future of the data space is about to change, and Y42 is here to lead the way.