Google Server-less Data analysis with BigQuery and Cloud Dataflow

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Google Data analysis Course Description

This 1-day instructor led course builds upon the Cloud Platform CPB100 (a prerequisite). Through a combination of instructor-led presentations, demonstrations, and hands-on labs, Participants learn how to carry out serverless data warehousing, analysis and pipeline processing.

Google Data analysis Course Benefits

In the age of small business and big data, this course will afford participants, knowledge pivotal to staying competitive with regard to data, while saving time and/or money, on work-arounds or hardware.
This course will supply participants with an understanding of how they might best go about their Data analytics tasks, whilst creating pathways and modules that ease access at every step of the way.
Learn to use Dataflow, BigQuery, Programming language (Python/Java), and Cloud Pub/Sub to pave the way for smooth data parsing; both seperately and in tandem.

Suggested Prerequisites

Experience using a SQL-like query language to analyze data
Knowledge of either Python or Java

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Course Outline

Participants will learn to:

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 transforms in Dataflow pipelines.
Join datasets as side inputs
Interoperate Dataflow, BigQuery and Cloud Pub/Sub for real-time streaming