data engineering 32
- Data needs Quality Checks
- Medallion architecture - 3 layers of data pipelines
- Let's try: dbt part 11 - SQLFluff & Pre-Commit
- Let's try: dbt part 10 - packages
- Let's try: dbt part 9 - variables
- Let's try: dbt part 8 - DAGs and docs
- Let's try: dbt part 7 - tests
- Let's try: dbt part 6 - snapshots and analyses
- Let's try: dbt part 5 - from Jinja to macros and hooks
- Let's try: dbt part 4 - model materialization
- Let's try: dbt part 3 - seed and source
- Slowly Changing Dimensions
- Let's try: dbt part 2 - first start
- Let's try: dbt part 1 - prologue
- Let's try: Apache Beam part 8 - Tags & Side inputs
- Let's try: Apache Beam part 7 - custom IO
- Let's try: Apache Beam part 6 - instant IO
- Data contracts in action (Python)
- Data contracts in action (NodeJS)
- Let's try: Apache Beam part 5 - transform it with Beam functions
- Let's try: Apache Beam part 4 - live on Google Dataflow
- Let's try: Apache Beam part 3 - my own functions
- Let's try: Apache Beam part 2 - draw the graph
- Let's try: Apache Beam part 1 - simple batch
- CloudEvents standard
- DAG integrity - unit test your DAG before deploying
- Let's try: Apache Airflow 2
- Let's try: Apache Airflow
- Do a presentation quick with Data Studio
- Data Integration (EP 3 end) - clock-work
- Data Integration (EP 2) - Take it out
- Data Integration (EP 1) – Give me your data