Data validation in data ingestion processes

In this webinar, we'll walk through some best practices for handling inconsistent data quality from multiple sources, and demonstrate some practical approaches to implementing robust data validation within your ingestion pipelines. You'll discover: - Why data validation is crucial for maintaining data quality when handling third-party sources - How to implement validation at different levels (record, file, and process) - Practical techniques for scaling validation as your data sources multiply - Strategies for automating error handling and reducing manual intervention - Methods for creating meaningful error reporting for both technical and business users Watch as we demonstrate a real-world example of validating data from multiple systems, showing how to externalize business rules for source-specific validation and create actionable reporting. We'll also look at detect declining data quality trends before they become critical issues. With CloverDX's data management platform, see how you can build resilient data pipelines that adapt to inconsistent formats and quality issues without requiring a new pipeline for each new client or data source. Perfect for data engineers, ETL developers, and data quality specialists looking to improve their ingestion processes and reduce data quality incidents. 00:00 - What is data ingestion? 01.31 - What is data validation? 04.20 - Common objectives for data validation 06.25 - Profiling and validation 07.55 - Overview of the CloverDX Data Management Platform 10.12 - Example - Ingesting data for operational reporting to enable scaling 11.25 - Orchestrating the data ingestion process 13.45 - Where validation steps happens in the ingestion pipeline 14.48 - Demo of a data ingestion pipeline built in CloverDX 18.00 - Viewing the data profiling and validation results 19.19 - Viewing validation errors 19.57 - Pulling errors automatically into a spreadsheet 22.00 - Validating against client-specific business rules 23.02 - Externalizing validation rules Read more: - The CloverDX Data Integration Platform: https://www.cloverdx.com/ - Data Validation in CloverDX: https://www.cloverdx.com/blog/data-validation-in-cloverdx - Data Quality with CloverDX: https://www.cloverdx.com/solutions/data-quality - Get a CloverDX Demo: https://www.cloverdx.com/demo