Master the Essentials: Big Data Engineering for Machine Learning

Want to understand more about the fundamentals and background of Machine Learning (ML)? Watch our webinar and deep dive into the essential aspects of Big Data Engineering for ML.

What You’ll Learn:

  1. Foundational Frameworks and Engines
    • Uncover the secrets behind foundational technologies such as Apache Hadoop and Spark.
    • Understand why these technologies are the building blocks for ML data pipelines.
  2. Modern Methodologies and Cloud Evolution
    • Dive into modern methodologies such as DataOps & MLOps,
    • Explore the pivotal role of cloud platforms in facilitating scalable ML workflows.
  3. Cost Optimization
    • Find out the emerging focus on FinOps for cost-effective cloud operations.
    • Learn how machine learning techniques can ensure a better level of data quality.

Watch this webinar to elevate your understanding of Big Data Engineering and stay ahead of the curve in the rapidly evolving field of Machine Learning.

Please fill in the form to watch the webinar

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