01 welcome-to-course-4 (69.89 MB)
03 course-4-overview (24.89 MB)
04 conceptual-logical-and-physical-data-modeling (10.82 MB)
05 normalization (32.07 MB)
07 dimensional-modeling-star-schema (25.14 MB)
01 inmon-vs-kimball-data-modeling-approaches-for-data-warehouses (26.19 MB)
02 exercise-from-normalized-model-to-star-schema (44.29 MB)
04 optional-conversation-about-dbt-with-drew-banin (200.07 MB)
05 data-vault (33.81 MB)
06 one-big-table (17.97 MB)
07 demo-transforming-data-with-dbt-part-1 (39.41 MB)
08 demo-transforming-data-with-dbt-part-2 (32.32 MB)
01 week-1-summary (13 MB)
01 week-2-overview (27.5 MB)
02 machine-learning-overview (27.8 MB)
03 modeling-data-for-traditional-ml-algorithms (31.68 MB)
04 optional-conversation-with-wes-mckinney (203.48 MB)
05 demo-processing-tabular-data-with-scikit-learn-part-1 (23.38 MB)
06 demo-processing-tabular-data-with-scikit-learn-part-2 (31.55 MB)
01 modeling-image-data-for-ml-algorithms (28.62 MB)
03 preprocessing-texts-for-analysis-and-text-classification (38.14 MB)
04 text-vectorization-and-embedding (24.84 MB)
01 week-2-summary (11.55 MB)
01 week-3-overview (14.66 MB)
02 batch-transformation-patterns-and-use-cases (27.94 MB)
03 distributed-processing-framework-hadoop (21.17 MB)
04 distributed-processing-framework-spark (26.04 MB)
05 spark-dataframes (9.63 MB)
06 demo-working-with-spark-dataframes-using-python (31.2 MB)
07 demo-working-with-spark-sql (19.82 MB)
08 amazon-emr (38.25 MB)
09 optional-aws-glue-overview (28.53 MB)
10 optional-demo-aws-glue-visual-etl (70.89 MB)
11 technical-considerations (20.79 MB)
01 streaming-processing (17.79 MB)
01 week-3-summary (11.46 MB)
01 week-4-overview (10.46 MB)
02 serving-data-for-analytics-and-machine-learning (14.26 MB)
03 views-and-materialized-views (17.02 MB)
01 summary-of-the-program-concepts (30.83 MB)
02 lab-walkthrough-capstone-project-part-1 (32.4 MB)
01 program-conclusion (55.32 MB)
01 conversation-with-zack-wilson (297.52 MB)
02 conversation-with-carly-taylor (327.38 MB)
03 conversation-with-ben-rogojan (219.19 MB)