Gits class #22: [ONLINE] Analyze Your User's Activities Using BigQuery and Data Analytics
1 like276 views
This document provides an overview of BigQuery and how to analyze user activities using BigQuery and Analytics Data. It discusses what BigQuery is, when to use it, why use it, who uses it, where it can be used, and how to use it. It also provides examples of window functions and how to identify user sessions through steps like finding session start times, flagging sessions based on a threshold, and marking session IDs.
![Window Functions
SELECT '(Optional: The data you want to select)',
[aggregate function]'(The column to perform the aggregate function on)'
OVER(Optional: PARTITION BY and/or ORDER BY)
AS '(Descriptive name)' FROM '(corresponding table)';
SYNTAX](https://image.slidesharecdn.com/gitsclass22-analyzeyourusersactivitiesusingbigqueryandanalyticsdata-200413101204/85/Gits-class-22-ONLINE-Analyze-Your-User-s-Activities-Using-BigQuery-and-Data-Analytics-34-320.jpg)
Gits class #22: [ONLINE] Analyze Your User's Activities Using BigQuery and Data Analytics
- 1. Analyze Your User's Activities Using BigQuery and Analytics Data
- 4. event_a event_b event_a event_b event_a event_b event_a event_b
- 5. Should I Use BigQuery? what? when? why? who? where? how? Demo
- 7. What is BigQuery? “BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure.” https://cloud.google.com/bigquery/what-is-bigquery https://cloud.google.com/blog/products/gcp/anatomy-of-a-bigquery-query Let’s run a typical SQL query: Storing Big Data
- 8. What is BigQuery? One of the GCP Products Data Insight Action
- 9. What is BigQuery? Can be integrated with : or Something Else
- 10. When to use BigQuery? what? when?
- 11. When to use BigQuery? https://www.toptal.com/database/google-bigquery-tutorial Testing Specifications : ● Postgre Server VS BigQuery ● The table contains more than 6.9 million rows ● Different server hardware & infrastructures ● Try 6 different query untuk reporting ○ #1 #2 dan #6 are quite easy and straightforward queries ○ #3 #4 dan #5 were complex queries ● With the same queries
- 12. When to use BigQuery? Conclusions : ● When the number of records is large (millions / billions rows) ● When you need scalable hardware / infrastructure ● When you need super-fast query execution process ● When you run a complex query ● When you have queries that run more than 5 seconds in a relational database https://www.toptal.com/database/google-bigquery-tutorial
- 13. Why use BigQuery? what? when? why?
- 14. Why use BigQuery? Do you still want to use this?
- 15. Why use BigQuery? Do you still want to manually scaling Hardware & Infrastructure?
- 16. Who uses BigQuery? what? when? why? who?
- 17. Who uses BigQuery? https://stackshare.io/google-bigquery Anyone can use BigQuery! ● Data Scientist ● Data Engineer ● Data Analyst ● Backend Developer ● ML / AI Enthusiast
- 18. Where can I use BigQuery? what? when? why? who? where?
- 19. Where can I use BigQuery? Cloud Console (https://console.cloud.google.com/bigquery)
- 20. Where can I use BigQuery? Classic Web UI (https://bigquery.cloud.google.com)
- 21. Where can I use BigQuery? Command Line Tool (CLI)
- 22. Where can I use BigQuery? BigQuery REST API (https://cloud.google.com/bigquery/docs/reference/rest) Using a variety of client libraries such as Java, .NET, or Python
- 23. Where can I use BigQuery? Aqua Data Studio (https://www.aquafold.com/aquadatastudio)
- 24. Where can I use BigQuery? DBeaver or Other Third-Party Client Tools
- 25. Where can I use BigQuery? DBeaver or Other Third-Party Client Tools
- 26. How to use BigQuery? what? when? why? who? where? how? Demo
- 27. How to use BigQuery? https://medium.com/firebase-developers/using-the-unnest-function-in-bigquery-to-analyze-event-parameters-in-analytics-fb828f890b42
- 28. How to use BigQuery? https://medium.com/firebase-developers/using-the-unnest-function-in-bigquery-to-analyze-event-parameters-in-analytics-fb828f890b42
- 29. How to know the user’s activities? The steps are : 1. Finding the start of every session 2. Flagging session per actual timeline based on threshold for defining 'new session' 3. Mark sessions that considered to be ID for that sessions (increment if new session for that user has detected)
- 30. Window Functions Window functions create a new column based on calculations performed on a subset or “window” of the data https://dataschool.com/how-to-teach-people-sql/how-window-functions-work/
- 31. Window Functions
- 32. Window Functions USING ORDER BY
- 34. Window Functions SELECT '(Optional: The data you want to select)', [aggregate function]'(The column to perform the aggregate function on)' OVER(Optional: PARTITION BY and/or ORDER BY) AS '(Descriptive name)' FROM '(corresponding table)'; SYNTAX
- 36. How to know the user’s activities? The steps are : 1. Finding the start of every session 2. Flagging session per actual timeline based on threshold for defining 'new session' 3. Mark sessions that considered to be ID for that sessions (increment if new session for that user has detected)
- 37. How to know the user’s activities? The steps are : 1. Finding the start of every session 2. Flagging session per actual timeline based on threshold for defining 'new session' 3. Mark sessions that considered to be ID for that sessions (increment if new session for that user has detected)
- 38. How to know the user’s activities? The steps are : 1. Finding the start of every session 2. Flagging session per actual timeline based on threshold for defining 'new session' 3. Mark sessions that considered to be ID for that sessions (increment if new session for that user has detected)
- 39. Thank You
- 40. Tinggal satu hari lagi! #JuaraGCP goo.gle/JuaraGCP