Section 4 Data Products Explorer 1
Welcome to our comprehensive tutorial on the Data Products Explorer feature within RightData's DataMarket platform! In this video, we’ll guide you through how to discover, evaluate, and access data products, featuring rich properties like technical metadata, business metadata, descriptive statistics, data lineage, and data quality scores.
Data Products Explorer is designed to empower all persona types—whether you're a Business User, Business Analyst, Executive, Data Steward, BI Report Writer, or Data Engineer—to easily navigate and utilize data products grouped by domains. With detailed metadata and quality metrics, this feature ensures that you find the most relevant and reliable data products for your specific needs.
What You’ll Learn:
Introduction to Data Products Explorer: Understand how Data Products Explorer enhances data accessibility and usability across different personas within your organization.
Exploring Data Products by Domain: Learn how to navigate data products grouped by specific domains, making it easier to find relevant data assets.
Evaluating Data Products: Discover how to assess data products based on technical metadata (data types, schema details), business metadata (business definitions, usage context), descriptive statistics (mean, median, distribution), lineage (data origin and transformation history), and data quality scores.
Requesting Approval and Access: See how to submit an approval request with a single click, streamlining the process of gaining access to the data products you need.
Role-Based User Experience: Explore how different personas—Business Users, Business Analysts, Executives, Data Stewards, BI Report Writers, and Data Engineers—can benefit from tailored experiences within the Data Products Explorer.
Start Using Data Products: Once approved, learn how to immediately start using the data products, integrating them into your workflows, reports, and analyses.
Why Use Data Products Explorer?
Comprehensive Metadata: Access detailed technical and business metadata for better understanding and utilization of data products.
Data Quality and Reliability: Leverage data quality scores and descriptive statistics to ensure you are working with accurate and reliable data.
Data Lineage: Trace the origin and transformation history of data products with comprehensive lineage information, enhancing transparency and trust.
Streamlined Data Access: Simplifies the process of discovering, evaluating, and accessing data products, reducing the time from discovery to usage.
Domain-Centric Navigation: Grouping data products by domains ensures that users can quickly find relevant data without sifting through irrelevant information.
One-Click Approval Requests: Accelerates the approval process, enabling faster access to data products while maintaining governance controls.
Data Democratization: Empowers users across the organization to make data-driven decisions by providing easy access to high-quality data products.