25 blogs, 25 data engineering concepts

👇25 blogs to guide you through every important concept 👇

1. Data Lake vs Data Warehouse
→ https://lnkd.in/gEpmTyMS
2. Delta Lake Architecture
→ https://lnkd.in/gk5x5uqR
3. Medallion Architecture
→ https://lnkd.in/gmyMpVpT
4. ETL vs ELT
→ https://lnkd.in/gvg3hgqe
5. Apache Airflow Basics
→ https://lnkd.in/gGwkvCXd
6. DAG Design Patterns
→ https://lnkd.in/gHTKQWyR
7. dbt Core Explained
→ https://lnkd.in/g5mQi8-y
8. Incremental Models in dbt
→ https://lnkd.in/gS25HCez
9. Spark Transformations vs Actions
→ https://lnkd.in/g2RRCGMW
10. Partitioning in Spark
→ https://lnkd.in/g5fXjSJD
11. Window Functions in SQL
→ https://lnkd.in/gupxmxvu
12. Slowly Changing Dimensions (SCD)
→ https://lnkd.in/gVFQmnuf
13. Data Modeling (Star vs Snowflake)
→ https://lnkd.in/gEP6Dacb
14. Data Quality with Great Expectations
→ https://lnkd.in/g84tGjBA
15. Data Lineage & Cataloging
→ https://lnkd.in/gT-GcF3a
16. Apache Kafka 101
→ https://lnkd.in/gHfDGa2d
17. Batch vs Stream Processing
→ https://lnkd.in/gPZt-pwd
18. PySpark Optimization Tips
→ https://lnkd.in/gQ6DXgDU
19. Auto Loader in Databricks
→ https://lnkd.in/gJiuYCQU
20. Delta Live Tables
→ https://lnkd.in/gn3AuZep