Big Data and AI

Introduction: In the world of Business Intelligence (BI), the importance of quality testing and the Extract, Transform, Load (ETL) process cannot be overstated. A key aspect of this process is ensuring data conformity, ensuring that the data fits the required destination format. To achieve consistent data governance, BI professionals rely on three powerful tools: schema validation, data dictionaries, and data lineages. In this blog post, we will delve into how these tools can promote data consistency and accuracy. Schema Validation : Schema validation is a critical process that ensures the source system data schema aligns with the target database data schema. Failing to validate the schemas can lead to system failures that are challenging to rectify. To prevent such issues, it's essential to build schema validation into your workflow. Database tools offer various schema validation options to check incoming data against the destination schema requirements. The three main properties ...