Build a Data Warehouse

Build a Data Pipeline with BigQuery you own this product

This project is part of the liveProject series Build a Data Warehouse in the Multi Cloud
prerequisites
basics of Google BiQuery • basics of BigQuery Standard SQL
skills learned
creating tables from CSV and nested JSON data • scheduling your queries and dataset updates • creating materialized views and aggregated activity tables
Mike Shakhomirov
1 week · 8-10 hours per week · INTERMEDIATE
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Look inside
In this liveProject, you’ll create a data pipeline that can enrich source data with currency exchange rates and converted totals. As this pipeline is updated daily, you’ll need to create a scheduled query to enrich your data. You’ll learn to load essential data into BigQuery from both CSVS and JSON, and use it to generate a daily business intelligence report for your colleagues.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Mike Shakhomirov

Mike Shakhomirov is the head of data engineering at The World's Online Festival. He has an MBA as well as a diploma in big data and social analytics from MIT, and he’s a Google Cloud Certified Professional Data Engineer. Passionate, enthusiastic, and digitally focused, he loves the challenges that the diverse gamut of digital marketing can offer. Mike is an official writer for publications including Towards Data Science and The Startup, and he’s the author of more than 50 published articles on topics such as data engineering, machine learning, and AI in digital marketing. You can find him on LinkedIn and Medium.

prerequisites

This liveProject is for complete beginners to data engineering, with a basic understanding of SQL. To begin this liveProject you will need to be familiar with:

TOOLS
  • BigQuery
      • TECHNIQUES
      • BigQuery Standard SQL
        • /ul>

you will learn

In this liveProject, you’ll learn how to utilize an effective cloud data warehouse as the heart of your data architecture.

  • Creating tables from CSV
  • Creating tables from nested JSON data
  • Tables partitioning and clustering
  • Scheduling your queries and dataset updates
  • Creating views
  • Creating materialized views and aggregated activity tables

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
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  • Build a Data Pipeline with BigQuery project for free

team

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$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Build a Data Pipeline with BigQuery project for free