Use the Apache Spark Structured Streaming API with Python to stream data from two different sources
Use the Apache Spark Structured Streaming API with Python to store a dataset in the MongoDB database and join two datasets
By the end of this project, you will use the Apache Spark Structured Streaming API with Python to stream data from two different sources, store a dataset in the MongoDB database, and join two datasets. The Apache Spark Structured Streaming API is used to continuously stream data from various sources including the file system or a TCP/IP socket. One application is to continuously capture data from weather stations for historical purposes.
Apache Spark SQL
Mongodb
Apache Spark Structured Streaming API
Apache Spark Schema
Apache Spark
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create a Python PySpark program to read streaming structured data.
Persist Apache Spark data to MongoDB.
Use Spark Structured Query Language to query data.
Use Spark to stream from two different structured data sources.
Use the Spark Structured Streaming API to join two streaming datasets.
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