Google Cloud Professional Data Engineer certification was ranked #1 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now to prepare!
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Google Cloud Professional Data Engineer certification was ranked #1 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now to prepare!
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Google Cloud Professional Data Engineer certification was ranked #1 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now to prepare!
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87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.
Here's what you have to do
1) Complete the Coursera Data Engineering Professional Certificate
2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam
3) Review the Professional Data Engineer exam guide
4) Complete Professional Data Engineer sample questions
5) Register for the Google Cloud certification exam (remotely or at a test center)
Applied Learning Project
This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.
What's inside
Five courses
Modernizing Data Lakes and Data Warehouses with Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
Building Batch Data Pipelines on Google Cloud
Building Batch Data Pipelines on Google Cloud
Building Resilient Streaming Analytics Systems on Google Cloud
Building Resilient Streaming Analytics Systems on Google Cloud
Smart Analytics, Machine Learning, and AI on Google Cloud
Smart Analytics, Machine Learning, and AI on Google Cloud
Preparing for your Professional Data Engineer Journey
(0 hours)
Preparing for your Professional Data Engineer Journey
(0 hours)Learning objectives
- Identify the purpose and value of the key big data and machine learning products in google cloud.
- Employ bigquery to carry out interactive data analysis.
- Use cloud sql and dataproc to migrate existing mysql and hadoop/pig/spark/hive workloads to google cloud.
- Choose between different data processing products on google cloud.
- Identify the purpose and value of the key big data and machine learning products in google cloud.
- Employ bigquery to carry out interactive data analysis.
- Use cloud sql and dataproc to migrate existing mysql and hadoop/pig/spark/hive workloads to google cloud.
- Choose between different data processing products on google cloud.
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