https://github.com/flor91/gcp-data-engineering

Data Engineering on Google Cloud Platform Specialization
https://github.com/flor91/gcp-data-engineering

gcp

Last synced: over 1 year ago
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Data Engineering on Google Cloud Platform Specialization

• Host: GitHub
• URL: https://github.com/flor91/gcp-data-engineering
• Owner: Flor91
• License: gpl-3.0
• Created: 2019-04-19T23:30:49.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-07-11T12:41:18.000Z (about 7 years ago)
• Last Synced: 2025-01-17T14:53:54.673Z (over 1 year ago)
• Topics: gcp
• Size: 370 KB
• Stars: 8
• Watchers: 2
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# GCP-Data-Engineering

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

![Icon](attachments/gcp-data-engineering.png)

## 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