Datasets section-overview
Datasets are the lifeblood of ÃÛ¶¹ÊÓƵ Journey Optimizer, serving as structured collections of data that unlock the potential for hyper-personalized customer experiences, dynamic reporting, and data-driven decision-making. Think of datasets as meticulously organized blueprints, defined by schemas, where every field and structure plays a role in shaping impactful insights. From accessing and managing datasets to exporting them to cloud storage for deeper analysis, each aspect is designed to empower data engineers and architects to work smarter. Explore how data governance ensures compliance and security, or dive into SQL query examples to uncover use cases like email tracking and journey analytics. Whether you’re creating datasets, leveraging them for reporting, or stitching them together for advanced insights, this section equips you with the tools and strategies to transform raw data into actionable intelligence.
Datasets Overview and Guides
Getting Started with Datasets
Step-by-step guide to accessing, creating, and managing datasets, including data governance best practices.
Export Datasets to Cloud Storage
Learn how to export datasets to cloud storage locations like Amazon S3, Azure Blob, or Google Cloud Storage.
Dataset Query Examples
Explore SQL query examples for analyzing datasets such as email tracking, push notifications, and journey steps.