This one-day instructor-led course introduces participants to
the big data capabilities of Google Cloud Platform. Through a
combination of presentations, demos, and hands-on labs,
participants get an overview of the Google Cloud platform and
a detailed view of the data processing and machine learning
capabilities. This course showcases the ease, flexibility, and
power of big data solutions on Google Cloud Platform.
This course teaches participants the following skills:
Identify the purpose and value of the key Big Data and
Machine Learning products in the Google Cloud Platform.
Use Cloud SQL and Cloud Dataproc to migrate existing MySQL
and Hadoop/Pig/Spark/Hive workloads to Google Cloud
Employ BigQuery and Cloud Datalab to carry out interactive
Train and use a neural network using TensorFlow.
Employ ML APIs.
Choose between different data processing products on the
Google Cloud Platform.
Instructor-led, Instructor-led online
This class is intended for the following:
Data analysts, Data scientists, Business analysts getting
started with Google Cloud Platform.
Individuals responsible for designing pipelines and
architectures for data processing, creating and maintaining
machine learning and statistical models, querying datasets,
visualizing query results and creating reports.
Executives and IT decision makers evaluating Google Cloud
Platform for use by data scientists.
To get the most of out of this course, participants should
Basic proficiency with common query language such as SQL.
Experience with data modeling, extract, transform, load
Developing applications using a common programming language
Familiarity with machine learning and/or statistics.