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Average Ratings 0 Ratings
Description
Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.
Description
Enhance your ability to swiftly and efficiently adapt to changes by effectively managing your master data, whether it's during a cloud application migration, addressing the impacts of mergers and acquisitions, or harmonizing metadata discrepancies across various business functions and applications. You can import lists or hierarchies from different applications that contribute to your data ecosystem. By doing so, you can streamline processes and eliminate the need for data validation during entry, even when dealing with subpar data quality. Furthermore, you can elevate the overall quality of data within a specific application or business sector by validating distinct perspectives, referred to as viewpoints. Additionally, effortlessly migrate and map enterprise data elements along with ongoing modifications across diverse environments, including public, private, and hybrid clouds, whether they originate from Oracle or other third-party sources. With a user-friendly shopping cart interface, you can easily create new enterprise data or modify existing relationships and attributes, empowering you to manage your data landscape more effectively. This approach not only simplifies the data management process but also enhances collaboration across teams.
API Access
Has API
API Access
Has API
Integrations
Alation
Amazon Web Services (AWS)
Axibase Enterprise Reporter (AER)
Azure Marketplace
Dataiku
Docker
Fivetran
Hunters
Immuta
JupyterHub
Integrations
Alation
Amazon Web Services (AWS)
Axibase Enterprise Reporter (AER)
Azure Marketplace
Dataiku
Docker
Fivetran
Hunters
Immuta
JupyterHub
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
DataOps.live
Founded
2020
Country
London, UK
Website
www.dataops.live/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/performance-management/enterprise-data-management/
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization