This document serves as a beginner's guide to Google BigQuery, covering data loading, usage, and dashboard creation. It highlights BigQuery's advantages such as management simplicity, high performance, and integration with other Google tools, while emphasizing the need for basic SQL knowledge. Additionally, it provides best practices for cost management and effective data handling within BigQuery.

1. BETTER&STRONGER
BIGQUERY FOR BEGINNERS
KHRYSTYNAGRYNKO
DigitalMarketer/Analyst

2. SUMMARY
HOW TO LOAD DATA TO BIGQUERY ?
01
PAGE 2
HOW TO WORK WITH BIGQUERY ?
02
PAGE 2
HOW TO BUILD DASHBOARDS USING BIGQUERY ?
03
PAGE 2
SOME BEST PRACTICES
04
PAGE 2

3. ANALYTICS INFRASTRUCTURE
Data Collection
Data
Consolidation
Data
Warehousing
Transformation Analytics / BI

4. BIGQUERY - NON GEEKY DEFINITION
This is a place where you can stock and query your data for 0,02 $ per GB (~256 MP3 audio files) and then create nice (and
free!) dashboards in Google Data Studio.
It is a part of Google Cloud Platform.
You’ll need some basic SQL knowledge to work with it.
(Officially : BigQuery is a Web service from Google that is used for handling or analyzing big data. It is part of the Google
Cloud Platform.)

5. BIGQUERY - « SCHEMA » DEFINITION
Backend
CRMs
Helpdesk

6. SQL
Language that allows you to communicate with your database.
Example :
SELECT name, job, salary
FROM people
WHERE salary IS NULL
Learn basic SQL with free courses :
https://campus.datacamp.com/courses/intro-to-sql-for-data-science/
https://www.codecademy.com/courses/sql-analyzing-business-metrics/
https://www.w3schools.com/sql/

7. ADVANTAGES OF BIGQUERY
2
1 3
MANAGEMENT SIMPLICITY
Easy Data management
No administration
Fully-managed
(no worries)
DATA PERFORMANCE
No limits
Fast imports
Scans TBs in seconds
GDPR - COMPLIANCE
Data storage in EU/US
Encryption
Access Controls
2−step verification
Data Loss prevention
etc.
Integration with other Google tools…
300$ to test GBQ…
Large community..
Education tools (courses, labs,etc.)
1 TB (125GB) per month is Free

8. ANALOGIES OF BIGQUERY
REDSHIFT
SNOWFLAKE
AZURE
PRESTO
ETC.

9. BIGQUERY STRUCTURE
Cloud Project
Big Query
Jobs
Team Access
Dataset1
Table1
Table1

10. BIGQUERY PAIEMENT STRUCTURE
ORGANIZATION
PROJECT A PROJECT B PROJECT C
BILLING
ACCOUNT
PAYMENT LINKAGE
OWNERSHIP

11. BIGQUERY DATA STRUCTURE
Column Storage Nested fields

12. BIGQUERY INTERFACE

13. BIGQUERY NEW INTERFACE

14. WORK WITG GOOGLE BIGQUERY
Into (Before)
Put your data into BigQuery
Out (After)
Extract your prepared data to
your dashboard
Inside
Work with your data in
BigQuery01
02
03

15. HOW TO LOAD DATA TO BIGQUERY ?
01
BEFORE

16. BIGQUERY INGESTION - GOOGLE SERVICES
BigQuery Data Transfer Service
Google Analytics 360
Google Play, Google Ads(2.5$ per month per customerID), Youtube (5$ per month per channel)
Cloud Storage (No charges, only for storage
+ Using Google Cloud Dataflow (pipeline to write data to BigQuery)
etc…

17. BIGQUERY INGESTION - GOOGLE SERVICES

18. BIGQUERY INGESTION - LOCAL MACHINE
Load data from a readable data source
- You can load data manually
- You can use API or Client Librairies
(create connectors or use paid connectors)
API is a set of clearly defined methods of communication among
various components - applications, software
BATCH task automation without manual work

19. BIGQUERY INGESTION - STREAMING
Load data immediately without delaying (for real-time reports)
- You can create your custom solution
- Use Google solutions (Google Dataflow)
- Or use paid solutions
Use-cases : mobile application - sending errors events in real time

20. SKY Q ANALYTICS ARCHITECTURE

21. HOW TO WORK WITH BIGQUERY ?
02
INSIDE

22. BIGQUERY (CLOUD) PROJECT (Like account in GA)

23. BIGQUERY DATASET - SET OF TABLES (Like property in GA)

24. BIGQUERY TABLES - YOUR DATA IS HERE

25. BIGQUERY QUERY (Like custom reports / custom segments in GA)

26. BIGQUERY VIEW (Like view or segment in GA)
Virtual table based on the query

27. HOW TO BUILD DASHBOARDS USING BIGQUERY ?
03
AFTER

28. GOOGLE DATA STUDIO + BIGQUERY
Build reports using existing tables

29. GOOGLE DATA STUDIO + BIGQUERY
Build reports using existing views

30. GOOGLE DATA STUDIO + BIGQUERY
Query your data directly in Data Studio

31. SOME BEST PRACTICES
03

32. BEST PRACTICES TO WORK WITH GBQ
Control costs (custom quotas)
- Set maximum per query cost limit
- Set per user daily budget
- Set per project daily budget
Use denormalized tables
Use preview
Use Query Validator
NO * SELECT (!)
Use table expiration
Use partition
Use pricing calculator

33. SOURCES AND TOOLS
- Coursera “ From Data to Insights with Google Cloud Platform” from Google Cloud
- Google Cloud Summit Prezentations
- Google BigQuery Documentation
- Qwiklabs
- StitchData / Owox / Fivetran
- dbt (command line tool)
- SinterData
- cron/crontab

34. THANKS !
7 place du Griffon | 69001 Lyon | France
+33 4 28 29 07 52 | contact@better-stronger.com
Khrystyna GRYNKO
khrystyna@better-stronger.com | +33 4 28 29 07 92