In this course, you get to access a crash course on Scala Programming and learn how Apache Spark operates on a cluster in an easy and simplified form. By the end of this course, you can expect to run SQL queries on streamed data in real time, train on machine learning models in real time with streaming data and use them to make predictions and improvise on a regular basis.
- Process massive streams of real-time data using Spark Streaming
- Create Spark applications using the Scala programming language
- Integrate Spark Streaming with data sources, including Kafka, Flume, and Kinesis
- Output transformed real-time data to Cassandra or file systems
- Integrate Spark Streaming with Spark SQL to query streaming data in real time
- Train machine learning models with streaming data, and use those models for real-time predictions
- Ingest Apache access log data and transform streams of it
- Receive real-time streams of Twitter feeds
- Maintain stateful data across a continuous stream of input data
- Query streaming data across sliding windows of time
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