Course summary
1. Course summary
This brings us to the end of the Exploring Data Transformation with Google Cloud course. Let’s do a quick recap. In the first section of the course, The Value of Data, you learned how data generates business insights and drives decision making; basic data management concepts, like databases, data warehouses, and data lakes; how organizations can create value by using their current data, collecting new data, and sourcing data externally; how the cloud unlocks business value from all types of data, including structured data and previously untapped unstructured data; about the data value chain, from the initial creation of data to data activation; and the importance that data governance plays in a successful data journey. In the second section of the course, Google Cloud Data Management Solutions, you learned about Google Cloud data management options and the differences between them; about the different storage classes available with Cloud Storage; how to choose the right storage product to meet the needs of your organization; and ways an organization can migrate and/or modernize their current database in the cloud. Finally, in the third section of the course, Making Data Useful and Accessible, you learned how Looker makes it easy for a workforce to access the data they need, when they need it; how streaming analytics in real time can make data more useful; and about two Google Cloud products that modernize data pipelines, Pub/Sub and Dataflow. Now that you’ve had a comprehensive introduction to data transformation, move on to the next course in the series, Innovating with Google Cloud Artificial Intelligence, where you’ll learn about the fundamentals of artificial intelligence and machine learning, selecting Google Cloud AI solutions, and building and using Google Cloud AI solutions. We’ll see you next time!2. Let's practice!
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