CPB100: GCP Big Data & MachineLearningFundamentals

Course details

This 8 hour instructor-led class introduces participants to the Big Data & Machine Learning capabilities of Google Cloud Platform. It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. (For a more general overview of Google Cloud Platform, see CP100A)
This class is intended for:
Data analysts
Data scientists
Business analysts
It is also suitable for IT decision makers evaluating Google Cloud Platform for use by data scientists.
This class is for people who do the following with big data:
Extracting, Loading, Transforming, cleaning, and validating data for use in analytics
Designing pipelines and architectures for data processing
Creating and maintaining machine learning and statistical models
Querying datasets, visualizing query results and creating reports
At the end of this one­day course, participants will be able to:
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 Updated on 17 October, 2017