| File Name: | GCP Dataproc – Basics to Advanced – Case studies & Pipelines |
| Content Source: | https://www.udemy.com/course/gcp-dataproc-basics-to-advanced-case-studies-pipelines/?couponCode=LETSLEARNNOW |
| Genre / Category: | Other Tutorials |
| File Size : | 3.1 GB |
| Publisher: | Saidhul Shaik |
| Updated and Published: | July 10, 2025 |
In this hands-on course, you’ll go from the fundamentals of Big Data and Apache Spark to mastering Google Cloud Dataproc, Google’s fully managed Spark and Hadoop service. Whether you’re an aspiring data engineer or a cloud enthusiast, this course will help you learn how to develop and deploy PySpark-based ETL workloads on Dataproc using real-world case studies and end-to-end pipeline projects.
We start with the basics — understanding Big Data challenges, Spark architecture, and why Dataproc is a game-changer for cloud-native processing. You’ll learn how to create Dataproc clusters, write and run PySpark code, and work with RDDs, DataFrames, and advanced transformations.
Key Features:
- Real-world case studies from retail and healthcare domains
- Practical ETL labs using PySpark on Dataproc
- Step-by-step cluster creation and management
- Production-style batch pipeline implementation
- Industry-relevant assignments and quizzes
- No prior experience in Big Data or Spark required
Who this course is for:
- Aspiring Data Engineers
- Anyone Preparing for GCP Data Engineer Certifications
DOWNLOAD LINK: GCP Dataproc – Basics to Advanced – Case studies & Pipelines
GCP_Dataproc_Basics_to_Advanced_Case_studies_Pipelines.part1.rar – 1000.0 MB
GCP_Dataproc_Basics_to_Advanced_Case_studies_Pipelines.part2.rar – 1000.0 MB
GCP_Dataproc_Basics_to_Advanced_Case_studies_Pipelines.part3.rar – 1000.0 MB
GCP_Dataproc_Basics_to_Advanced_Case_studies_Pipelines.part4.rar – 153.1 MB
FILEAXA.COM – is our main file storage service. We host all files there. You can join the FILEAXA.COM premium service to access our all files without any limation and fast download speed.
