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In this 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
Description:
- Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
- Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
- Employ BigQuery and Cloud Datalab to carry out interactive data analysis
- Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow
- Choose between different data processing products on the Google Cloud Platform
Syllabus
- Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
- Introduction to Google Cloud Platform and its Big Data Products
- Foundations of GCP Compute and Storage
- Data Analysis on the Cloud
- Scaling Data Analysis: Compute with GCP
- Data Processing Architectures: Scalable Ingest, Transform and Load
- Summary of Google Cloud Platform, Big Data, and ML
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