Wizardly Booth
Total Score: 92
Homework submissions
Homework 1: Pre-Requisites (Docker, Terraform, SQL)
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 2: Mage
Score: 8 = 6 (questions) + 0 (FAQ) + 2 (learning in public)
Homework URL: View submission
Learning in public links: Show
Workshop 1: Data Ingestion
Score: 7 = 4 (questions) + 0 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 3: Data Warehouse
Score: 12 = 6 (questions) + 0 (FAQ) + 6 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-parquet
- https://cloud.google.com/blog/topics/developers-practitioners/bigquery-explained-working-joins-nested-repeated-data
- https://cloud.google.com/blog/products/data-analytics/new-blog-series-bigquery-explained-overview
- https://cloud.google.com/bigquery/docs/streaming-data-into-bigquery#bigquery_table_insert_rows-python
- https://cloud.google.com/bigquery/docs/materialized-views-intro
- https://panoply.io/data-warehouse-guide/bigquery-architecture/
Homework 4: Analytics Engineering
Score: 5 = 2 (questions) + 0 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 5: Batch processing
Score: 11 = 6 (questions) + 0 (FAQ) + 5 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.youtube.com/watch?v=_C8kWso4ne4&ab_channel=freeCodeCamp.org
- https://domino.ai/data-science-dictionary/pyspark
- https://spark.apache.org/docs/latest/api/python/user_guide/index.html
- https://spark.apache.org/docs/latest/api/python/user_guide/pandas_on_spark/best_practices.html
- https://spark.apache.org/docs/latest/rdd-programming-guide.html
Workshop 2: Streaming with SQL
Score: 2 = 0 (questions) + 0 (FAQ) + 2 (learning in public)
Homework URL: View submission
Learning in public links: Show
Public Leaderboard
Score: 0 = 0 (questions) + 0 (FAQ) + 0 (learning in public)
Project submissions
Project Attempt 2
Project score: 20 Passed
Score: 41 = 20 (project) + 9 (peer review) + 7 (learning in public / project) + 5 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Learning in public links: Show
- https://www.kaggle.com/discussions/general/194531
- https://medium.com/@jaitechie05/part-1-unleash-the-magic-in-your-data-pipelines-with-mage-ai-5f4fc80b53cb#:~:text=Mage-AI%20is%20an%20open,addressing%20some%20of%20its%20complexities.
- https://www.getdbt.com/analytics-engineering
- https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwis8qjzmMaFAxU9gP0HHc0zCMIQFnoECBkQAQ&url=https%3A%2F%2Fsupport.google.com%2Flooker-studio%2Fanswer%2F9171315%3Fhl%3Den&usg=AOvVaw0obd1bArT0f_BWPJo5bnJz&opi=89978449
- https://blog.coupler.io/google-data-studio-tutorial-for-beginners/
- https://github.com/dbt-labs/dbt-core/issues
- https://www.getdbt.com/analytics-engineering/use-cases