The document is an introductory guide to Google BigQuery, presented by data architect César Orozco Manotas, highlighting basic concepts, best practices, and resources for learning. It outlines BigQuery's features as a serverless, scalable cloud data warehouse, its architecture, and interaction methods. The document also includes references to pricing and offers various resources for further exploration of BigQuery.

1. Google Bigquery 101
Data Architect @ Globant
César Orozco Manotas

2. 2The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
● Data architect and engineer.
● Python developer.
● Working with GCP stack since a year.
● Cloud Technology enthusiast.
About me
@manotasce
https://www.linkedin.com/in/manotasce/

3. 3The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
Agenda
● Basic concepts
● Best Practices
● Demo
● Learning resources

4. Basic Concepts

5. 5The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
Enterprise Data Warehouse (EDW)
EDW systems consist of huge databases, containing
historical data on volumes from multiple gigabytes to
terabytes of storage.
Mark Sweiger: Scalable Computer Architectures for Data Warehousing, p. 1.

6. 6The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery: A serverless, highly-scalable, and
cost-effective cloud data warehouse with an
in-memory BI Engine and AI Platform built in.

7. 7The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery offers...
1 Interactive analysis of petabyte scale databases
2 SQL 2011 query language and functions
3 Many ways to ingest, transform, load, export data to / from
BigQuery
4 Nested and repeated fields, user-defined functions in JavaScript
5 Inexpensive data storage; queries charged on amount of data
processed
Data Engineering Course 05 Bigquery Analysis

8. 8The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
Why BigQuery is so popular?

9. 9The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery Tech Partners
Welcome to Cloud onBoard - slide 37 http://bit.ly/2XiJ5MB

10. 10The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery pricing

11. 11The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery pricing( cont.)
https://cloud.google.com/bigquery/pricing/

12. 12The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery architecture
Dremel is the execution Engine.
Jupiter is the network.
Colossus is the distributed storage.
Borg Compute.
https://cloud.google.com/blog/products/gcp/bigquery-under-the-hood

13. 13The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
How BigQuery is organized?
A project contains users and datasets
A dataset contains tables and views
A table is a collection of columns
A job is a potentially long-running
action
Data Engineering Course 05 Bigquery Analysis

14. 14The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
Interacting with BigQuery
Google SDK - bq (Python script for BigQuery)
BigQuery API
Cloud console - BigQuery UI

15. 15The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery: 4TB in 28 secs!
Taken from https://cloudonair.withgoogle.com/events/onboard-core-infrastructure?expand=talk:intermission-2

16. Best practices

17. 17The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
Where to store data on GCP

18. 18The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery ETL reference architecture
Taken from Google BigQuery: The Definitive Guide by Valliappa Lakshmanan and Jordan Tigani (O’Reilly). Copyright
2020 Valliappa Lakshmanan and Jordan Tigani, 978-1-492-04446-8.

19. 19The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery EL reference architecture
Taken from Google BigQuery: The Definitive Guide by Valliappa Lakshmanan and Jordan Tigani (O’Reilly). Copyright
2020 Valliappa Lakshmanan and Jordan Tigani, 978-1-492-04446-8.

20. 20The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams.
BigQuery ELT reference architecture
Taken from Google BigQuery: The Definitive Guide by Valliappa Lakshmanan and Jordan Tigani (O’Reilly). Copyright
2020 Valliappa Lakshmanan and Jordan Tigani, 978-1-492-04446-8.

21. Demo

22. Learning resources

23. https://cloud.google.com/bigquery/docs/
https://www.reddit.com/r/bigquery/
https://cloud.google.com/free/