Webinar: Big Data Engineering for Machine Learning

Want to understand more about the fundamentals and background of Machine Learning (ML)? Watch our webinar recording and deep dive into the essential aspects of Big Data Engineering for ML. What You’ll Learn: 1. Foundational Frameworks and Engines Learn why foundational technologies such as Apache Hadoop and Spark are the building blocks for ML data pipelines. 2. Modern Methodologies and Cloud Evolution Dive into modern methodologies such as DataOps and MLOps, Explore the pivotal role of cloud platforms in facilitating scalable ML workflows. 3. Cost Optimization Discover the emerging focus on FinOps for cost-effective cloud operations and how machine learning techniques can ensure a better level of data quality.