Hadoop is the first open source big data computing platform. Hadoop brought Big Data computing to every organization. This foundation training starts with Big Data basics and introduces you to the Big Data computing concepts using Hadoop as a platform. This is the recommended training for Big Data beginners.
Scala is a natural fit for the Big Data processing requirements because Scala is a functional programming language and Scala code is always concise and expressive. Apache Spark is another compelling reason to learn Scala. This tutorial gives you a jump start into Scala and helps you achieve prerequisite for learning Apache Spark.
Apache Spark is an open-source cluster-computing framework for large-scale data processing. It is the most popular solution for large scala data processing. Spark is 10 to 100 times faster and much simpler than Hadoop's Map Reduce. This training starts at the most basic level and helps you become a Spark Core developer.
Apache Kafka supports a broad range of use cases as a general-purpose messaging system where high throughput, reliable delivery, and horizontal scalability are essential. Thousands of companies are already using Apache Kafka for building real-time data pipelines. This training will help beginners to understand the most critical concepts.