Modeling Streaming Data for Processing with Apache Spark Structured Streaming
Modeling Streaming Data for Processing with Apache Spark Structured Streaming
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 19m | 110 MB
Instructor: Eugene Meidinger
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 19m | 110 MB
Instructor: Eugene Meidinger
Streaming analytics can be difficult to implement. This course will teach you to model real-time data processing with Spark Structured Streaming.
Streaming analytics can be a difficult to set up, especially when working with late data arrivals and other variables. In this course, Modeling Streaming Data for Processing with Apache Spark Structured Streaming, you’ll learn to model your data for real-time analysis. First, you’ll explore applying batch processing to streaming data. Next, you’ll discover aggregating and outputting data. Finally, you’ll learn how to late arrivals and job failures. When you’re finished with this course, you’ll have the skills and knowledge of Spark Structured Streaming needed to combine your batch and streaming analytics jobs.
Modeling Streaming Data for Processing with Apache Spark Structured Streaming
