| | Streaming Data Pipelines & Data Science in Healthcare | | | | | | Hi David,
In the past, big data was interacted with in batch on a once-a-day basis. Now data is dynamic and data driven businesses need instant results from continuously changing data. Data Pipelines, which combine real-time Stream processing with the collection, analysis and storage of large amounts of data, enable modern, real-time applications, analytics and reporting. In this talk we will: - Use Apache Spark streaming to consume Medicare Open payments data using the Apache Kafka API
- Transform the streaming data into JSON format and save to the MapR-DB document database.
- Query and Analyze the data with Apache Spark SQL
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