
If you’re preparing for the Google Cloud Associate Data Practitioner learning path, one of the most important areas is mastering Data Preparation and Data Ingestion. This course provides complete training on how to bring data into Google Cloud securely, efficiently, and in a production-ready format. Whether you’re working with batch files, streaming data, structured information, or raw datasets, this training equips you with all essential skills to operate in real-world cloud data environments.
What You Will Learn
This course focuses on end-to-end data handling concepts you must know for the Google Cloud Data Practitioner track:
1. Data Preparation Fundamentals
- Understanding data types and formats (CSV, JSON, Avro, Parquet, ORC)
- Cleaning, transforming, normalizing, and enriching data
- Working with Cloud Dataprep and Dataflow pipelines
- Performing ETL/ELT operations in real-world scenarios
2. Data Ingestion Techniques
- Ingesting data into Cloud Storage buckets
- Loading data into BigQuery using batch and streaming methods
- Working with Pub/Sub for real-time ingestion
- Importing data from external sources: MySQL, PostgreSQL, on-prem, and APIs
- Using Datastream for replication and migration
3. Production-Ready Pipelines
- Designing reliable ingestion pipelines
- Monitoring data flow and troubleshooting errors
- Automating ingestion using Cloud Functions and Workflows
- Optimizing BigQuery loading cost and performance
Who Should Use This Course
This course is ideal for:
- Google Cloud beginners
- Data analysts and engineers
- Developers working with cloud data
- Students preparing for GCP Associate Data Practitioner Certification
- IT professionals expanding into cloud data platforms
Whether you’re new to Google Cloud or already familiar with GCP services, this training gives you practical experience with data ingestion, pipelines, storage, and preprocessing — core topics needed to succeed in real projects.
Download Google Cloud Data Preparation and Ingestion Course
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Course Content

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