Evolving your analytics from batch processing to real-time processing can have a major impact on your business. However, designing and maintaining applications to continuously collect and analyze large amounts of data per hour can be extremely difficult without the right tools. Using Amazon Kinesis you can easily ingest streaming data without building any complex pipelines. In this webinar, we will show you how to build your first real-time processing application on AWS, using a combination of managed services like Amazon Kinesis and open source tools such as Apache Spark and Zeppelin. First, you will learn how to push randomly generated event sensor data into Kinesis. Once the data is available in Kinesis we are going to consume and process it using Spark streaming. Finally, we will build data visualizations with this data, using Zeppelin, an open source GUI tool which creates interactive notebooks for data explorations using Spark and can be easily installed on Amazon EMR with a simple click.
• Understand the basics of ingesting streaming data with Amazon Kinesis Streams
• Create a real-time ingestion application
• Work with Apache Zeppelin and Spark on Amazon EMR to processing Kinesis Streams
Who Should Attend:
• Developers, Data Analysts, Data Engineers, Data Scientists and Architects