Data Engineering, Big Data, and Machine Learning on GCP Specialization

Description

This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, 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 course teaches the following skills:

• Design and build data pipelines on Google Cloud Platform

• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.

• Process batch and streaming data by implementing autoscaling 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

This class is intended for developers who are responsible for:

• 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

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