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The complete GCP data engineering project : retailer domain.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Cloud computing.
- Computing platforms.
- Retail trade--Data processing.
- Retail trade.
- Physical Description:
- 1 online resource (1 video file (6 hr., 10 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Birmingham, United Kingdom] : Packt Publishing, 2026.
- Summary:
- In this 6-hour course, gain hands-on experience building end-to-end data pipelines on Google Cloud Platform for retailer data, covering ingestion, transformation, orchestration, and deployment using Dataproc, PySpark, BigQuery, Airflow, and Cloud Build. What I will be able to do after this course Build scalable data ingestion pipelines using Dataproc and PySpark Configure and manage GCS landing zones for efficient cloud storage Transform and curate data in Bronze, Silver, and Gold BigQuery layers Automate workflows with Airflow DAGs for production readiness Implement CI/CD pipelines with GitHub and Cloud Build Course Instructor(s) Shaik Saidhul is a Cloud Data Engineer skilled in GCP, Azure, and AWS. Founder of Skill Vane Software Institute, he mentors aspiring data engineers through hands-on projects, best practices, and interview prep. Who is it for? This course is for aspiring and current data engineers and cloud professionals seeking practical GCP pipeline experience. Learners should know basic SQL, Python, and cloud concepts.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9781808087431
- OCLC:
- 1593776565
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