- contenido:
- From an engineering perspective, scalability is one of the most pressing challenges in data science. Apache Flink, the powerful and popular stream-processing platform, offers features and functionality that can help developers tackle this challenge. In this course, learn how to build a real-time stream processing pipeline with Apache Flink. Instructor Kumaran Ponnambalam begins by reviewing key streaming concepts and features of Apache Flink. He then takes a deeper look at the DataStream API and explores various capabilities available for real-time stream processing, including windowing and joins. After delving into the platform's event-time processing and state management features, he provides a use case project that allows you to put your new skills to the test.
Información de título
título: Apache Flink: Real-Time Data Engineering
autor: Ponnambalam, Kumaran
editorial: LinkedIn
categoría: eLearning, Software & Programmieren, IT
4074
ejemplares
4074
disponible
0
reserva
plazo del préstamo: 180 dias