These days, almost every industry makes use of big data to evaluate where they stand and grow. When you hear the term big data, Apache Spark comes to mind. Following are the industry benefits of using PySpark that supports Spark:

• Media streaming: Spark can be used to achieve real-time streaming to provide personalized recommendations to subscribers. Netflix is one such example that uses Apache Spark. It processes around 450 billion EVENTS every day to flow to its server-side apps.
• Finance: Banks use Spark for accessing and analyzing the social media profiles and in turn GET insights on what strategies would help them to make the right decisions regarding customer segmentation, CREDIT risk assessments, early fraud detection etc.
• Healthcare: Providers use Spark for analyzing the past records of the patients to identify what health issues the patients MIGHT face posting their discharge. Spark is also used to perform genome sequencing for reducing the time required for processing genome data.
• Travel Industry: Companies like TripAdvisor uses Spark to help users plan the perfect trip and provide personalized recommendations to the travel enthusiasts by comparing data and review from hundreds of websites regarding the place, hotels, etc.
• Retail and e-commerce: This is one important industry domain that requires big data analysis for targeted advertising. Companies like Alibaba run Spark jobs for analyzing petabytes of data for enhancing customer experience, providing targetted offers, sales and optimizing the overall performance.