Penn Classifieds>Penn Online Courses>Modernizing Data Lakes and Data Warehouses with Google Cloud

Modernizing Data Lakes and Data Warehouses with Google Cloud

About this Course

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.

Created by: Google Cloud


Related Online Courses

Welcome to the specialization course of Designing data-intensive applications. This course will be completed on four weeks, it will be supported with videos and exercises. By the end of this... more
In this hands-on project, we will build and train an XG-Boost classifier to predict whether a person has a risk of having cervical cancer. Cervical cancer kills about 4,000 women in the U.S. and... more
This course will guide you through the basic concepts, tools and practices in management. It is designed for students from diverse backgrounds as a crash-course to understand the most fundamental... more
Course Description: This course, \"Java EE Essentials: Best Practices for Enterprise Solutions,\" provides a deep dive into the principles, patterns, and practices essential for developing robust... more
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL