To benefit from this course, participants should have completed "Google Cloud Big Data and Machine Learning Fundamentals" or have equivalent experience. Participant should also have: • Basic proficiency with a common query language such as SQL. • Experience with data modeling and ETL (extract, transform, load) activities. • Experience with developing applications using a common programming language such as Python. • Familiarity with machine learning and/or statistics
Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
Part of StorSoft's cloud training line, the Google Cloud Modernizing Data Lakes and Data Warehouses with Google Cloud course prepares practitioners to apply these skills on live programs. It targets practitioners who already work in the area and need deeper, applied depth. Delivery is available in classroom and virtual formats, typically over 1 day. Relevant background is recommended before enrollment.
Google CloudCloudData Engineering and Data Analysis
Before you enroll
Prerequisites and certification path.
Delivered through StorSoft
Schedule this course for your team.
StorSoft coordinates delivery through its authorized training partners, including Ascendient Learning, and can align scheduling, delivery mode, and cohort size to your program. Course facts are maintained from partner catalogs; confirm current pricing and dates when you submit a request.