Modern Data Catalog

One of the key aspects of DQLabs optimal data quality platform is the automated e-process of discovering, inventorying, profiling and tagging using  our ML-augmented data catalog for simplified metadata management.

Overview

Due to rapid growth and diversity of data sources, deployment models and data types, as well as business and technical users, organizations continue to struggle with manually identifying and inventorying valuable distributed and heterogeneous data assets.

To resolve this issue, the DQLabs augmented data catalog provides a full scan of existing data assets to derive end-to-end views of your data for both governance and compliance. This not only allows the data stewards to discover metadata but also provides an understanding of the data quality associated with each attribute.

Data Catalog Features

For simplified management of metadata, leverage DQLabs ML-augmented data catalog to automate the process of discovering, inventorying, profiling and tagging your data across the enterprise.

Connect to all data sources and data types

Quickly discover and easily extract data catalog information from various enterprise data warehouses, operational databases, enterprise applications, cloud data stores, nonrelational data stores, and many more with just a few clicks using DQLabs out-of-the-box connectors. We not only connect to the data sources via REST-based APIs, XMLs and PDFs but also automate profiling, clustering, indexing and creating of semantic relationships.

Connect to all data sources and data types - DQLabs
ML assisted Search and Querying - DQLabs

ML assisted Search and Querying

ML-assisted search and querying enables you to perform semantic search across all metadata to find the most relevant datasets to browse and filter the derived datasets as needed.

Understand Data Quality Impact

DQLabs provides data quality scoring accompanied with deep dive analysis on any attribute. Perform or assess the impact of usage in data preparation, data reporting or analytics to ensure a higher quality of reports, dashboards and ML models.

Auto tagging and Classification - DQLabs

Auto tagging and Classification

This feature includes classification based on the most current data privacy and security compliance regulations — such as the EU General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) and includes sensitivity levels.

Patent Pending DataSense™

With the DQLabs AI driven DataSense™ module, DQLabs modernizes your meta data, catalog and taxonomy management with integrated AI/ML functions including automated rules and learning capabilities. Various data cataloging tasks such as metadata discovery, ingestion, translation, and enrichment are automated via DQLabs modern machine learning algorithms.

Data Catalog

With DQ Lab’s data catalog, you can connect to any offline, online and real time source with just a few clicks using our out-of-the-box connectors. With the AI driven DataSense™ module, DQLabs modernizes meta data, catalog and taxonomy management with integrated AI/ML functions using automated rules and learning capabilities. DataSense™ centralizes all metadata information and includes all relevant business terms, rules, data structures, data schemas, relationships, and metadata from all sources. It also enables search and query capabilities of metadata to facilitate discovery of data assets. Use the patented DataSense™ to

  • Connect to the most popular data sources and types
  • Benefit from ML assisted data Search and Querying
  • Understand Data Quality Impact
  • Execute Auto tagging and Classification
  • Implement Smart Cataloguing

Best Practices

Trellance Annual Conference 2022 - DQLabs Events

EVENTS

Trellance Annual Conference 2022

DQLabs is proudly sponsoring this year’s Trellance Annual Conference, which will be held at the luxurious JW Marriott along the sparkling waters of Tampa Bay on May 17th–20th.

Our Senior Vice President of Revenue, Lance Keel, will be speaking at the conference on the topic “Leading Data Quality Practices and Why it’s Critical“. Come join the session and meet our team at the conference to learn more about what’s new at DQLabs!

Attending this conference can help you learn how DQLabs augmented data quality platform can manage your entire data quality life cycle with Artificial Intelligence and Machine Learning to combine processes and technologies to improve, monitor, and prepare “ready-to-use” data.

For more information, book a meeting with our experts.

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