Flor91 / GCP-Data-Engineering

Data Engineering on Google Cloud Platform Specialization

GCP-Data-Engineering

Notes taken and exercises done on the Data Engineering on Google Cloud Platform Specialization

Data Engineering on Google Cloud Platform Specialization by Cloudera

• Duration: five-weeks
• Content: 5 course of 1 week each

1. Google Cloud Platform Big Data and Machine Learning Fundamentals

Introduction to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP)

2. Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform. Access various cloud storage options from their compute clusters and integrate Google’s machine learning capabilities into their analytics programs

3. Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Carry out no-ops data warehousing, analysis and pipeline processing

4. Serverless Machine Learning with Tensorflow on Google Cloud Platform

Machine learning (ML) and TensorFlow concepts

5. Building Resilient Streaming Systems on Google Cloud Platform

Streaming data pipelines using Google Cloud Pub/Sub and Dataflow to enable real-time decision making