Big Data with Apache Spark, Kafka and Cassandra

In the last few years, there has been significant growth in the adoption of Apache Kafka. Current users of Kafka include Uber, Twitter, Netflix, LinkedIn, Yahoo, Cisco and Goldman Sachs.  Apache Kafka is an open-source distributed event streaming platform for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Kafka is a scalable pub/sub system where users can publish a large number of messages on the system as well as consume those messages through a subscription, in real time.  
While Hadoop typically holds a copy of all types of data, it is impractical to feed all other systems off Hadoop since many of them require more real time data than what Hadoop can provide. Kafka is designed as a multi-subscription system where the same published data set can be consumed multiple times.

Key Benefits:
Master the Big Data Powerhouse Trio: Gain expertise in Apache Spark, Kafka, and Cassandra, a powerful combination for processing, streaming, and storing big data.
Unlock Real-Time Insights: Learn how to analyze and process massive data streams in real-time using Kafka and Spark for faster decision-making.
Build Scalable Data Pipelines: Design and implement robust data pipelines that can handle ever-growing big data volumes with Apache tools.