Standardizing Ingestion and its metadata for compliant Data Platforms

Standardizing ingestion and its metadata is crucial for compliant Data Platforms. The lack of standardization in data ingestion processes leads to inconsistencies, making it difficult to ensure compliance throughout the lifecycle of data. Companies are faced with a tough decision: Govern their data properly or risk losing the ability to leverage modern tools. Proactive compliance strategies, such as integrating compliance measures from the outset and collecting only necessary data, can help companies succeed in the post-compliance world. The need for standardization is essential for enabling decentralization without losing control. A perfect standard ingestion library should be developer-focused, simple, flexible, scalable, robust, secure, extensible, community-driven, cost-effective, and well-documented. dlt, a Pythonic ingestion standard, aims to address these needs with its open-source offering, which includes features such as declarative REST API connectors, schema evolution, and incremental loading. dlthub's commercial offering provides additional support and customization options for businesses looking to implement standardized ingestion and metadata management.

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