Build a Data Pipeline with BigQuery

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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.

project author

Mike Shakhomirov
Mike Shakhomirov is a lead data engineer at The World's Online Festival. He has an MBA and MIT diploma in big data and social analytics and is a Google Cloud Certified Professional Data Engineer. He is a passionate and digitally focused individual with an abundance of drive and enthusiasm, loving the challenges the full mix of digital marketing can offer. He is also an official writer for publications such as Towards Data Science and The Startup, with more than 20 published articles on various topics. He writes about data engineering, machine learning and AI in digital marketing.

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>

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