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Description
The Bloomberg Enterprise Catalog offers a meticulously organized collection of more than 40,000 data fields, centralizing a wide range of enterprise datasets such as reference, regulatory, pricing, ESG, and alternative data, along with real-time market feeds, funds details, and investment research, all available through a single, API-compatible source that features customizable dashboards and integration connectors. Users are empowered to conduct natural-language and field-specific searches, subscribe to desired datasets, and visualize aspects like data lineage, usage metrics, and quality scores, with historical coverage that spans decades, facilitating back-testing, trend analysis, regulatory compliance, and model validation. Data is accessible through desktop interfaces, terminals, or RESTful APIs, and integrates effortlessly with business intelligence tools, cloud storage solutions, and data lakes, providing a variety of delivery options that range from tick-level pricing to larger aggregated statistics. To ensure high standards, the system incorporates rigorous quality controls, standardized identifiers, and enterprise-grade service level agreements (SLAs) that guarantee consistency, accuracy, and uptime, thereby enhancing user confidence in their data-driven decisions. This comprehensive approach not only streamlines data management but also supports organizations in harnessing the full potential of their data assets.
Description
DQV is the comprehensive data quality and testing platform developed by Kumaran Systems, catering to teams engaged in the movement, masking, or validation of substantial data volumes. This tool meticulously evaluates source and target datasets on a field-by-field basis, identifies discrepancies, and produces mismatch reports, eliminating the need for manual checks using spreadsheets.
The platform encompasses five key functionalities: it performs field-level comparisons while detecting drift, facilitates migration mapping between different schemas, offers deterministic PII masking, conducts record- and table-level validation with the ability for on-the-fly corrections, and generates synthetic data for teams lacking access to production data for testing.
DQV is compatible with a wide range of data sources, including SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and it seamlessly integrates with tools like Informatica, Databricks, and CI/CD pipelines, or can operate independently as a library or CLI tool.
In real-world applications, DQV has successfully validated an impressive 26.6 million bank records in less than 22 minutes, showcasing its efficiency and speed. Additionally, a free trial is offered, along with various licensing options, including individual, enterprise, and on-premises plans, ensuring flexibility for different organizational needs. This versatile solution not only enhances data integrity but also streamlines the testing process across multiple platforms.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bloomberg
Country
United States
Website
www.bloomberg.com/professional/products/data/enterprise-catalog/
Vendor Details
Company Name
Kumaran Systems
Founded
1992
Country
United States
Website
kumaran.com/products/dqv/
Product Features
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management