Course Overview
Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.
Course Objectives
Design and build data processing systems on Google Cloud Platform.
Leverage unstructured data using Spark and ML APIs on Cloud Dataproc.
Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow.
Derive business insights from extremely large datasets using Google BigQuery.
Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML.
Enable instant insights from streaming data
Who Should Attend?
Extracting, loading, transforming, cleaning, and validating data.
Designing pipelines and architectures for data processing.
Creating and maintaining machine learning and statistical models.
Querying datasets, visualizing query results and creating reports
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