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:

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

Please fill in the form to watch the webinar

Note: By filling and submitting this form you understand and agree that the use of Qubole’s website is subject to the General Website Terms of Use. Additional details regarding Qubole’s collection and use of your personal information, including information about access, retention, rectification, deletion, security, cross-border transfers and other topics, is available in the Privacy Policy. If you have any questions regarding the webform language, please contact [email protected].