Duration40 Days
Mode of TrainingOnline
Course Objective

This course provides participants a hands-on introduction to designing and building data pipelines on The Google Cloud Platform.Through a combination of presentations, demos, hand-on labs, Industry real time use cases & Case Studies participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.


This class is intended for developers who are responsible for learn or manage big data transformations & want to make Career into Data Engineering using Google Cloud Platform including

  • Extracting, Loading, Transforming, cleaning, and validating data
  • Designing pipelines and architectures for data processing
  • Integrating analytics and machine learning capabilities into data pipelines
  • Querying datasets, visualizing query results and creating reports
This Course teaches the following skills
  • Introduction to Google Cloud Platform & it’s products
  • Design and build data pipelines on Google Cloud Platform
  • Build Hadoop workloads in the Google Cloud using Cloud Dataproc
  • Process batch and streaming data by implementing auto scaling data pipelines on Cloud Dataflow
  • Manage your data Pipelines with Data Fusion and Cloud Composer
  • Derive business insights from extremely large datasets using Google BigQuery
  • Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML
  • Enable instant insights from streaming data