Step by step guide to building four data pipelines in Google Cloud using DataStream, Data Fusion, DataPrep, DataFlow etc
What you'll learn
- How to build No Code/Codeless data pipelines in Google Cloud
- You will learn to build real-world data pipelines usings tools like Data Fusion, DataPrep and Dataflow
- You will learn to transform data using Data Fusion
- You will acquire good data engineering skills in Google Cloud
- Working with Big Query Data warehouse in Google Cloud
Requirements
- Basic understanding of cloud computing
- An active google account
- basic understanding of what a data lake and data warehouse are is essential but not required
Description
In this course, we will be creating a data lake using Google Cloud Storage and bring data warehouse capabilites to the data lake to form the lakehouse architecture using Google BigQuery. We will be building four no code data pipelines using services such as DataStream, Dataflow, DataPrep, Pub/Sub, Data Fusion, Cloud Storage, BigQuery etc.The course will follow a logical progression of a real world project implementation with hands on experience of setting up a data lake, creating data pipelines for ingestion and transforming your data in preparation for analytics and reporting.
Who this course is for:
- Data Engineers
- Data Architects looking to architect data integration solutions in Google Cloud
- Data Scientist, Data Analyts and Database Administrators
- Data Scientist, Data Analyts and Database Administrators
- Anyone looking to start a career as an Google Cloud Data Engineer
