Ace your GCP PDE certification with 200 realistic questions on BigQuery, Dataflow, Pub/Sub, and Cloud Spanner.
Sub Category
- IT Certifications
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Objectives
- Architect robust data processing pipelines utilizing Cloud Pub/Sub for messaging and Cloud Dataflow (Apache Beam) for real-time stream processing.
- Optimize petabyte-scale data warehousing queries in BigQuery by mastering Partitioning, Clustering, and Materialized Views.
- Select the precise Google Cloud database for the job, distinguishing between Bigtable (time-series), Spanner (global relational), and Cloud SQL.
- Orchestrate complex ETL/ELT workflows using Cloud Composer (Apache Airflow) and migrate legacy Hadoop clusters using Cloud Dataproc.
Pre Requisites
- A foundational understanding of standard SQL, basic Python, and general data engineering concepts (ETL pipelines, batch vs. streaming). Prior familiarity with the GCP Console is highly recommended.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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