CPB101: Serverless Data Analysis with BigQuery and Cloud Dataflow Training Course

This 8 hour instructor led course builds upon the CPB100 (which is a prerequisite). Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing.
This class is intended for data analysts and data scientists responsible for: analyzing and visualizing big data, implementing cloud-based big data solutions, deploying or migrating big data applications to the public cloud, implementing and maintaining large-scale data storage environments, and transforming/processing big data.
Objectives
Build up a complex BigQuery using clauses, inner selects, built-in functions and joins
Load and export data to/from BigQuery
Identify need for nested, repeated fields and user-defined functions
Understand pipeline processing, terms and concepts
Write pipelines in Java or Python and launch them locally or in the Cloud
Implement Map, Reduce trransforms in Dataflow pipelines.
Join datasets as side inputs
Interoperate Dataflow, BigQuery and Cloud Pub/Sub for real-time streaming