Terraform

1. Let's try: Terraform part 1 - basic
2. Let's try: Terraform part 2 - variables
3. Let's try: Terraform part 3 - backend
4. Let's try: Terraform part 4 - modules
5. Let's try: Terraform part 5 - import
6. Let's try: Terraform part 6 - CI/CD
7. Let's try: Terraform part 7 - Locals, Data, and Output
8. Let's try: Terraform part 8 - Conditions and Repetition
9. Let's try: Terraform part 9 END - Dynamic

Apache Beam

1. Let's try: Apache Beam part 1 - simple batch
2. Let's try: Apache Beam part 2 - draw the graph
3. Let's try: Apache Beam part 3 - my own functions
4. Let's try: Apache Beam part 4 - live on Google Dataflow
5. Let's try: Apache Beam part 5 - transform it with Beam functions
6. Let's try: Apache Beam part 6 - instant IO
7. Let's try: Apache Beam part 7 - custom IO
8. Let's try: Apache Beam part 8 - Tags & Side inputs

Apache Airflow

1. Let's try: Apache Airflow
2. Let's try: Apache Airflow 2

Data Science

1. Note of data science training EP 1: Intro – unboxing
2. Note of data science training EP 2: Pandas & Matplotlib – from a thousand mile above
3. Note of data science training EP 3: Matplotlib & Seaborn – Luxury visualization
4. Note of data science training EP 4: Scikit-learn & Linear Regression – Linear trending
5. Note of data science training EP 5: Logistic Regression & Dummy Classifier – Divide and Predict
6. Note of data science training EP 6: Decision Tree – At a point of distraction
7. Note of data science training EP 7: Metrics – It is qualified
8. Note of data science training EP 8: Ensemble – Avenger's ensemble
9. Note of data science training EP 9: NetworkX – Map of Marauder in real world
10. Note of data science training EP 10: Cluster – collecting and clustering
11. Note of data science training EP 11: NLP & Spacy – Languages are borderless
12. Note of data science training EP 12: skimage – Look out carefully
13. Note of data science training EP 13: Regularization – make it regular with Regularization
14. Note of data science training EP 14 END – Data scientists did their mistakes

Data Integration

1. Data Integration (EP 1) – Give me your data
2. Data Integration (EP 2) - Take it out
3. Data Integration (EP 3 end) - clock-work

Data 4.0

1. Data 4.0 (Part 1)
2. Data 4.0 (Part 2)
3. Data 4.0 (Part 3)
4. Data 4.0 (Part 4)
5. Data 4.0 (Part 5)