Architecting Big Data Applications: Real-Time Application Engineering

Description

In this course, you will :

• Discover use cases and best practises for architecting real-time applications using technologies like Kafka, Hazelcast, and Apache Spark.
• See how big data tools can assist businesses that generate, store, and analyse large amounts of data in resolving some of the most complex challenges.
• demonstrates how to analyse a problem, create an architectural outline, select appropriate technologies, and finalise a solution.
• best practises for real-time streaming, predictive analytics, parallel processing, and pipeline management
• Each lesson is jam-packed with practical techniques and insights from a developer who has firsthand experience with the benefits and drawbacks of these technologies.

Syllabus :

• Real-Time Big Data
• Social Media Sentiment Analysis (SM)
• Real-Time Fraud Detection (FD)
• Website Production Recommendations (PR)
• Mobile Couponing (MC)