| 1. BigQuery Console Create Table DDL.mp4 | 33.7 MB | ||
| 1. BigQuery Console Create Table DDL.srt | 8.2 KB | ||
| 1. Connect to MySQL.mp4 | 56.9 MB | ||
| 1. Connect to MySQL.srt | 13.7 KB | ||
| 1. Final Thoughts and Other Resources.mp4 | 6.8 MB | ||
| 1. Final Thoughts and Other Resources.srt | 5.7 KB | ||
| 1. Introduction.mp4 | 8.9 MB | ||
| 1. Introduction.srt | 5.4 KB | ||
| 1. Pandas new column with SQL.mp4 | 35.4 MB | ||
| 1. Pandas new column with SQL.srt | 6.8 KB | ||
| 10. ETL Overview.mp4 | 12.9 MB | ||
| 10. ETL Overview.srt | 5.6 KB | ||
| 2. BigQuery Console Create Table file upload.mp4 | 24 MB | ||
| 2. BigQuery Console Create Table file upload.srt | 6.5 KB | ||
| 2. Installing Python.mp4 | 31 MB | ||
| 2. Installing Python.srt | 4.2 KB | ||
| 2. Pandas new column with Python Function.mp4 | 63 MB | ||
| 2. Pandas new column with Python Function.srt | 10.8 KB | ||
| 2. Query MySQL using Python.mp4 | 43.9 MB | ||
| 2. Query MySQL using Python.srt | 10.5 KB | ||
| 3. BigQuery Connect with Python.mp4 | 46.3 MB | ||
| 3. BigQuery Connect with Python.srt | 8.1 KB | ||
| 3. Overview of Pandas.mp4 | 8.9 MB | ||
| 3. Overview of Pandas.srt | 4.7 KB | ||
| 3. Pandas data transformation.mp4 | 61.8 MB | ||
| 3. Pandas data transformation.srt | 11.5 KB | ||
| 3. Virtual Environments.mp4 | 56.6 MB | ||
| 3. Virtual Environments.srt | 7.5 KB | ||
| 4. BigQuery Loading Data.mp4 | 74.5 MB | ||
| 4. BigQuery Loading Data.srt | 13.6 KB | ||
| 4. Creating a Google Account.mp4 | 23.8 MB | ||
| 4. Creating a Google Account.srt | 5 KB | ||
| 4. Pandas dtypes.mp4 | 33.2 MB | ||
| 4. Pandas dtypes.srt | 7.8 KB | ||
| 5. BigQuery Project, Dataset and Tables.mp4 | 35 MB | ||
| 5. BigQuery Project, Dataset and Tables.srt | 8.8 KB | ||
| 5. BigQuery Truncate v Append.mp4 | 33.5 MB | ||
| 5. BigQuery Truncate v Append.srt | 5.8 KB | ||
| 5. Pandas filters.mp4 | 33 MB | ||
| 5. Pandas filters.srt | 7.1 KB | ||
| 6. Big Query Complete ETL Program.mp4 | 137.4 MB | ||
| 6. Big Query Complete ETL Program.srt | 23 KB | ||
| 6. Installing the Google SDK.mp4 | 66.1 MB | ||
| 6. Installing the Google SDK.srt | 11.2 KB | ||
| 6. Pandas Export to CSV.mp4 | 56.9 MB | ||
| 6. Pandas Export to CSV.srt | 10.3 KB | ||
| 7. BigQuery Bonus Material.mp4 | 50.8 MB | ||
| 7. BigQuery Bonus Material.srt | 9.6 KB | ||
| 7. Google Authentication.mp4 | 18.1 MB | ||
| 7. Google Authentication.srt | 2.4 KB | ||
| 8. Storing Connection Properties.mp4 | 27.5 MB | ||
| 8. Storing Connection Properties.srt | 4.6 KB | ||
| 9. Installing Needed Modules.mp4 | 59.5 MB | ||
| 9. Installing Needed Modules.srt | 9.3 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 56 total files | |||
ETL using Python: from MySQL to BigQuery
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 27 lectures (2h 57m) | Size: 870.7 MB
A course for supercharged analysts
What you'll learn:
Connect to MySQL using Python
Connect to BigQuery using Python
ETL data from MySQL to BigQuery using Python
Setting up their environment to use Python with MySQL and BigQuery
Requirements
Python installed (e.g. virtual environment, anaconda, etc...)
Familiarity with SQL
Familiarity with Python
GCP Account for BigQuery Access
An IDE like VS Code or PyCharm
Description
This is a direct and to the point course that will get you quickly ETL'ing data from MySQL to BigQuery.
The lessons in this course are broken out into short How-Tos. Therefore you can take this course over the weekend and be ready to show off your skills on Monday morning!
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