ETL Processing On Google Cloud Using Dataflow And BigQuery


Course Number: GCP-144

Duration: 1 day (6.5 hours)

Format: Live, hands-on

Google Cloud ETL Training Overview

This live, online ETL Processing on Google Cloud Using Dataflow and BigQuery training course teaches attendees how to design data processing systems and build end-to-end GCP data pipelines for extracting, transforming, and loading data.

Location and Pricing

This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.

In addition, some Cloud courses are available as live, online classes for individuals.

Objectives

  • Understand the approaches to ETL
  • Use BigQuery to load and transform the data to perform a one-time load of a small amount of data into BigQuery for analysis
  • Use Dataflow to load, transform, and cleanse the data

Prerequisites

  • Completed Google Cloud Fundamentals Big Data and Machine Learning course or have equivalent experience
  • Basic proficiency with SQL, as well as with data modeling, extraction, transformation, and loading
  • Prior experience with Python, ideally in the context of statistics and/or analytics

Outline

Expand All | Collapse All

Introduction to Data Engineering
  • Explore the role of a data engineer
  • Analyze data engineering challenges
  • Intro to BigQuery
  • Data Lakes and Data Warehouses
  • Federated Queries with BigQuery
Building a Data Warehouse
  • The modern data warehouse
  • Introduction to BigQuery
  • Query TB+ of data in seconds
  • Getting Started
  • Loading Data
  • Querying Cloud SQL from BigQuery
  • Loading Data into BigQuery
Introduction to Building Batch Data Pipelines
  • EL, ELT, ETL
  • Quality considerations
  • How to carry out operations in BigQuery
Serverless Data Processing with Cloud Dataflow
  • Cloud Dataflow
  • Why customers value Dataflow
  • Dataflow Pipelines
  • A Simple Dataflow Pipeline (Python/Java)
  • MapReduce in Dataflow (Python/Java)
  • Side Inputs (Python/Java)
  • Dataflow Templates
  • Dataflow SQL
Conclusion

Training Materials

All Dataflow And BigQuery training students receive comprehensive courseware.

Software Requirements

Students must have the Google Chrome web browser and Internet access.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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