Lynda – Architecting Big Data Applications – Real-Time Application Engineering
English | Size: 103.64 MB
Real-time systems have guaranteed response times that can be sub-seconds from the trigger. Meaning that when a user clicks a button, your app better respond-and fast. Architecting applications under real-time constraints is an even bigger challenge when you’re dealing with big data. Excessive latency can cost you money, in terms of system resources consumed and customers lost. Luckily, big data technology and efficient architecture can provide the real-time responsiveness your business needs. In this course, you can learn about use cases and best practices for architecting real-time applications with technologies such as Kafka, Hazelcast, and Apache Spark.
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