- Tensorflow
- Bigquery
- Information Engineering
- Google Cloud
- Cloud Computing
October 6, 2020
Approximately 1 months at 10 hours a week to completeREBECCA MARY LARNER's account is verified. Coursera certifies their successful completion of Google Cloud Preparing for Google Cloud Certification: Cloud Data Engineer Specialization.
Course Certificates Completed
Modernizing Data Lakes and Data Warehouses with Google Cloud
Smart Analytics, Machine Learning, and AI on Google Cloud
Google Cloud Big Data and Machine Learning Fundamentals
Preparing for your Professional Data Engineer Journey
Building Resilient Streaming Analytics Systems on Google Cloud
Building Batch Data Pipelines 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.
Earned after completing each course in the Specialization
Google Cloud
Taught by: Google Cloud Training
Completed by: REBECCA MARY LARNER by September 30, 2020
Google Cloud
Taught by: Google Cloud Training
Completed by: REBECCA MARY LARNER by October 5, 2020
Google Cloud
Taught by: Google Cloud Training
Completed by: REBECCA MARY LARNER by October 2, 2020
2 weeks of study, 6-10 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: REBECCA MARY LARNER by October 6, 2020
1 week of study, 6-8 hours/week
Google Cloud
Taught by: Google Cloud Training
Completed by: REBECCA MARY LARNER by October 4, 2020
Google Cloud
Taught by: Google Cloud Training
Completed by: REBECCA MARY LARNER by October 4, 2020