MyLab: The best way to learn is to make your hands dirty! (RECAP)

I suggest you to run these labs to understand more about Data Engineering via Google Cloud. I still believe the best way to learn is to make your hands dirty! Please open https://www.cloudskillsboost.google/ and try these labs!

BEST LABS FOR DATA ENGINEERING:

1. Lab: Exploring a Public BigQuery Dataset 
2. Lab: Analyzing Billing Data with BigQuery.
3. Lab: Loading Taxi Data into Cloud SQL. 
4. Lab: Loading Data into BigQuery.
5. Lab: Working with JSON and Array data in BigQuery.
6. Lab: Running Apache Spark jobs on Cloud Dataproc. 
7. Lab: A Simple Dataflow Pipeline (Python/Java). 
8. Lab: MapReduce in Dataflow (Python/Java).
9. Lab: Side Inputs (Python/Java).
10. Lab: Building and executing a pipeline graph in Cloud Data Fusion.
11. Lab: An Introduction to Cloud Composer. 
12. Lab: Publish Streaming Data into Pub/Sub. 
13. Lab: Streaming Data Pipelines. 
14. Lab: Streaming Analytics and Dashboards.
15. Lab: Streaming Data Pipelines into Bigtable. 
16. Lab: Optimizing your BigQuery Queries for Performance.
17. Lab: Using the Natural Language API to Classify Unstructured Text. 
18. Lab: BigQuery in Jupyter Labs on AI Platform. 
19. Lab: Running AI models on Kubeflow. 
20. Lab: Predict Bike Trip Duration with a Regression Model in BQML.
21. Lab: Movie Recommendations in BigQuery ML. 
22. Lab: Classifying Images of Clouds in the Cloud with AutoML Vision

BEST DEMOS FOR DATA ENGINEERING:

1. Demo: Federated Queries with BigQuery.
2. Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions.
3. Demo: Running federated queries on Parquet and ORC files in BigQuery.
4. Demo: Query TB+ of data in seconds.
5. Demo: Querying Cloud SQL from BigQuery.
6. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA.
7. Demo: Nested and repeated fields in BigQuery.
8. Demo: Partitioned and Clustered Tables in BigQuery.
9. Demo: ELT to improve data quality in BigQuery.
10. Demo: Train a model with BigQuery ML to predict NYC taxi fares.
11. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery.