Data flows help you turn raw data into reusable, analysis-ready datasets that can support dashboards, reports, augmented analytics, and machine learning.
Our new e-learning course, Data Flows in Oracle Analytics Cloud and Fusion Data Intelligence, shows you how to build repeatable data preparation processes that combine, transform, enrich, save, schedule, and share data for analytics.
In this course, you’ll learn how to:
- Describe the purpose and architecture of data flows
- Build data flows using a variety of steps such as filters, joins, and calculations
- Use data flows to combine, organize, and integrate data into datasets
- Manage and share data flows to streamline your processes
- Schedule data flows and run them in a sequence
- Use data flows with advanced analytics techniques
Why this matters
Data flows make data preparation repeatable and easier to manage. Instead of manually recreating transformations, teams can create saved pipelines that produce trusted datasets for workbooks, dashboards, augmented analytics, and predictive analysis.
Who should take this course?
This course is ideal for analysts, report authors, data professionals, and Oracle Analytics users who want to prepare reusable datasets, automate data preparation, and take advantage of augmented analytics and machine learning capabilities in Fusion Data Intelligence and Oracle Analytics Cloud.
Select this link to access the course: Data Flows in Oracle Analytics Cloud and Fusion Data Intelligence (for Authors)
