Big Data: Spark Streaming and Scala

Technology - Frank Kane

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.

 

 

Learning Objectives:

  • 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

Instructor

Frank Kane

Founder: Sundog Education

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically…

Training 5 or more people?

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What will you cover?

  •   Overview 00:15:20
  •   Stream Live Tweets with Spark Streaming 00:12:28

Instructor

Frank Kane

Founder: Sundog Education

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically…

Training 5 or more people?

Get your team access to WIISE top 2,000 courses anytime, anywhere.

Try WIISE for Business
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