Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No