3. What topics, tools, and skills are covered in the specialization?

Q: 3. What topics, tools, and skills are covered in the specialization?

Modernizing Data Lakes & Warehouses : Data lake vs. warehouse concepts, data pipeline roles, cloud-native storage. Batch Data Pipelines : ETL/ELT workflows using Dataflow, Dataproc, Data Fusion, and Cloud Composer. Streaming Analytics Systems : Real-time data ingestion with Pub/Sub, streaming transforms with Dataflow, analysis with BigQuery. Smart Analytics, ML & AI : ML API integration, BigQuery ML, Vertex AI AutoML, TensorFlow use in notebooks. Hands-On Labs : Labs run on Qwiklabs , offering real practical experience with GCP tools like BigQuery and Dataflow.

Modernizing Data Lakes & Warehouses: Data lake vs. warehouse concepts, data pipeline roles, cloud-native storage.
Batch Data Pipelines: ETL/ELT workflows using Dataflow, Dataproc, Data Fusion, and Cloud Composer.
Streaming Analytics Systems: Real-time data ingestion with Pub/Sub, streaming transforms with Dataflow, analysis with BigQuery.
Smart Analytics, ML & AI: ML API integration, BigQuery ML, Vertex AI AutoML, TensorFlow use in notebooks.
Hands-On Labs: Labs run on Qwiklabs, offering real practical experience with GCP tools like BigQuery and Dataflow.