Spark at Scale: Engineering Strategies for Data Science Workflows
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore engineering strategies for optimizing data science workflows using Spark in this 40-minute conference talk from the Data Science Festival Summer School 2023. Dive into a case study presented by Neil McCulloch, Data Science Engineer at dunnhumby, focusing on improving the performance of problematic PySpark applications. Learn how to slash runtimes in half for in-store availability reporting science. Gain insights into tackling large-scale data processing challenges and enhancing the efficiency of Spark-based data science projects. Discover practical approaches to optimize PySpark applications and streamline big data analytics workflows.