Ingest, transform, and pre-process unstructured data at scale with watsonx.data integration
Built for scale, with embedded security and compliance.
Works alongside structured data integration across batch, streaming, replication and observability, so you can eliminate the patchwork of tools.
Designed for all skill levels—from no and low-code to a comprehensive SDK.
Build an unstructured data integration pipeline in less than two minutes
Much like traditional extract, transform, load (ETL) for structured data integration, this new technology applies process to unstructured data.
Regardless of skill level, users can take advantage of an intuitive UI and pre-built connectors to ingest commonly used unstructured file types from a variety of sources. For more technical users, the platform is fully extensible through a comprehensive SDK.
For the transform step, the capability provides pre-built quality operators to handle functions such as text extraction and de-duplication. They can also remove sensitive content such as personally identifiable information (PII) and hate, abuse and profanity (HAP). These transformations are powered by a scalable engine that can process hundreds of millions of pages—exponentially accelerating unstructured data processing. Unstructured data integration also integrates with open source frameworks such as LangChain to extend transformation functionality even further.
For the load step, the feature provides chunking and embedding operators to streamline embedding generation and populate vector databases, such as Milvus, making the unstructured data easily accessible for AI use cases.
After pipelines are built, they will remain live with automatic embedding updates when source documents change, solving common issues with outdated vectorized data. To maintain security, built-in access control lists (ACLs) let organizations manage who can view and act on specific datasets.
Regardless of skill level, users can take advantage of an intuitive UI and pre-built connectors to ingest commonly used unstructured file types from a variety of sources. For more technical users, the platform is fully extensible through a comprehensive SDK.
For the transform step, the capability provides pre-built quality operators to handle functions such as text extraction and de-duplication. They can also remove sensitive content such as personally identifiable information (PII) and hate, abuse and profanity (HAP). These transformations are powered by a scalable engine that can process hundreds of millions of pages—exponentially accelerating unstructured data processing. Unstructured data integration also integrates with open source frameworks such as LangChain to extend transformation functionality even further.
For the load step, the feature provides chunking and embedding operators to streamline embedding generation and populate vector databases, such as Milvus, making the unstructured data easily accessible for AI use cases.
After pipelines are built, they will remain live with automatic embedding updates when source documents change, solving common issues with outdated vectorized data. To maintain security, built-in access control lists (ACLs) let organizations manage who can view and act on specific datasets.
Watsonx.data integration unifies structured and unstructured data across modern lakehouse architectures. By connecting databases, documents, logs, images and emails, it enables richer insights, more accurate AI, and a complete view of your business.
Watsonx.data integration transforms unstructured content into structured, actionable data for autonomous agents and real-time systems—powering use cases such as automated service, fraud detection and dynamic supply chains.
Watsonx.data integration prepares unstructured content—such as documents, audio and video—for AI training by cleaning, enriching and structuring it. This ensures high-quality inputs for better NLP, computer vision and predictive analytics.
Resources
Discover how you can future proof your data integration stack with watsonx.data integration.
Read the blog
Build ETL pipelines for unstructured data with IBM watsonx.data integration.
Read the blog
Enable AI at scale with Unstructured Data Integration and Governance.
Read the blog
Related products
IBM® watsonx.data integration unifies your data—structured and unstructured—across all integration styles and storage architectures, helping it become AI ready.
watsonx.data intelligence discovers, curates, and governs data assets, turning raw information into accurate AI and meaningful insights across on-prem and cloud environments.
IBM® watsonx.data® shatters traditional lakehouse limitations, pioneering new standards for data integration, enrichment and governance that foster more accurate AI.
Footnotes
¹ IDC white paper: The untapped value of unstructured data