Configure a Python application to create a simulated real-time data stream from historical data.
Use Apache Beam locally to test Dataflow locally.
Use Apache Beam to process data using Dataflow to create a simulated real-time dataset.
Query the simulated real-time data stream using BiqQuery.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will simulate a real-time real world data set from a historical data set. This simulated data set will be processed from a set of text files using Python and Google Cloud DataFlow, and the resulting simulated real-time data will be stored in Google BigQuery.
Bigquery
Data Analysis
Apache Beam
Dataflow
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