In today’s world, organizations need faster access to integrated data across an increasingly distributed landscape with data spread across the cloud, on-premise and within legacy systems. Extreme levels of diversity, distribution and scale are adding tremendous complexity to the efforts of overall data integration. The traditional architectures and tools for data integration focused on replicating and moving data. They were slow and inexact in delivering semantically enriched and integrated datasets.
However, with DQLabs’ augmented data integration platform you now have the ability to use AI/ML algorithms to deliver “just-in-time” data management. Implementing infrastructure and processing maps for data integration use cases, both business and technical users can solve their requirements for hybrid/multi-cloud data management including augmented data integration and data fabric designs.
Leverage DQLabs augmented data integration featuring the user-friendly ready-made plug and play platform, applicable for any data source type and any data location with support for governance and enterprise-wide management of data assets.
Supports easy access to and delivery from various data silos by implementing well-understood, established integration technologies utilizing best practices and standards. More importantly it’s flexible enough to support integrated data through a combination of data delivery styles.
AI/ML-augmented data integration enables active metadata analysis, semantics and a knowledge graph by offering an augmented data catalog which provides an inventory of all types of metadata assets and their relationships.
DQLabs provides multiple levels of access at the attribute, dataset, and data source level to provide for ease of data access and permissioning.
DQLabs provides massive parallel processing capabilities to deliver distributed processing to rationalize the performance of data integration workstreams, distributable integration flows (via push-down processing) and easy-to-deploy optimization capabilities.
Provision data dynamically using APIs in synergy with data and application integration techniques including access, lookups and also delivery of data through a centralized permissioning layer.
The extreme levels of diversity, distribution, scale, and complexity in an organizations’ data assets are adding tremendous complexity to the overall data integration and data management tasks. DQLabs combines different data integration styles and by using proven integration technologies, best practices, and standards, delivers scalable out of the box connectors with a unified data integration strategy.
See what DQLabs can do
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