Data Lakes in A Real-Time Bidding Environment

Explore the intricacies of big data engineering for machine learning with our comprehensive webinar. Dive into foundational frameworks like Apache Hadoop and Spark, understanding their crucial role in ML data pipelines. Discover modern methodologies such as DataOps & MLOps, alongside cloud platforms’ pivotal role in scalable ML workflows. Uncover the emerging focus on FinOps for cost-effective cloud operations, ensuring better data quality with machine learning techniques. Elevate your understanding of big data engineering to stay ahead in the evolving field of Machine Learning.

What You’ll Learn:

  1. Foundational Frameworks and Engines:
    • Secrets behind Apache Hadoop and Spark.
    • Understanding their role in ML data pipelines.
  2. Modern Methodologies and Cloud Evolution:
    • Dive into DataOps & MLOps.
    • Explore cloud platforms for scalable workflows.
  3. Cost Optimization:
    • Emerging focus on FinOps for cost-effective operations.
    • Ensuring better data quality with ML techniques.

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