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What is Oracle MDM?

To fully understand the principles of master data management (MDM), it is essential to begin with a clear definition of master data and how it differs from MDM itself. Master data constitutes the vital business information that forms the foundation and categorization of the transactional and analytical data present within an organization. Often referred to as "enterprise data" or "metadata," this category of data generally includes application-specific metadata, different business viewpoints, corporate dimensions, reference data, and various master data assets. Examples of such enterprise data encompass the chart of accounts, the structures of organizations or cost centers, market segments, and product categories, among other significant components. Conversely, master data management (MDM) is focused specifically on the management of master data itself. MDM utilizes a collection of applications and technologies aimed at consolidating, cleansing, and refining master data while ensuring it remains synchronized across various applications, business processes, and analytical tools. In essence, MDM serves a vital function in upholding the integrity and uniformity of data throughout an enterprise, which in turn fosters better decision-making processes. Furthermore, the successful implementation of MDM can lead to improved operational efficiency and enhanced data quality, benefiting the organization as a whole.

What is HPE Ezmeral Data Fabric?

Discover the capabilities of HPE Ezmeral Data Fabric Software offered as a fully managed service by signing up for a 300GB instance today, which allows you to delve into its newest features and functionalities. As organizations continue to spread their data across various sites, the need for high-quality, insightful data is climbing, with users desiring more thorough insights than ever before. Hybrid cloud solutions stand out as an exceptional choice, delivering advantages in cost efficiency, data distribution, workload management, and overall user satisfaction. A key benefit of this hybrid model is its capacity to match applications with the most appropriate services throughout their entire lifecycle. Nevertheless, this hybrid framework can also lead to increased complexities, such as limited data visibility, the requirement for various analytical formats, and potential rises in organizational risks and costs. Consequently, while embracing hybrid solutions provides the benefits of flexibility and scalability, it is crucial to carefully navigate these complexities to optimize performance and ensure success in the long run. Additionally, organizations must remain vigilant in addressing these challenges to fully leverage the advantages of a hybrid approach.

Media

Media

Integrations Supported

Ataccama ONE
Cognixia
Decision Moments
IBM StreamSets
IRI CellShield
IRI DMaaS
IRI DarkShield
IRI FieldShield
IRI Voracity
NVIDIA RAPIDS
Netvisor ONE
Progress DataDirect
Shapelets
Starburst Enterprise
Style Intelligence

Integrations Supported

Ataccama ONE
Cognixia
Decision Moments
IBM StreamSets
IRI CellShield
IRI DMaaS
IRI DarkShield
IRI FieldShield
IRI Voracity
NVIDIA RAPIDS
Netvisor ONE
Progress DataDirect
Shapelets
Starburst Enterprise
Style Intelligence

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Company Website

www.oracle.com/sg/scm/product-lifecycle-management/master-data-management/

Company Facts

Organization Name

Hewlett Packard Enterprise

Date Founded

2009

Company Location

United States

Company Website

www.mapr.com

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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