Building Data Pipelines
Step 1: Advanced SQL
- Performance tuning and complex joins.
Step 2: ETL Processes
- Extract, Transform, Load data from various sources.
Step 3: Big Data Tools
- Apache Spark, Hadoop, and Kafka.
Step 4: Data Warehousing
- Snowflake, BigQuery, or Redshift.