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What is Oracle Enterprise Metadata Management?

Oracle Enterprise Metadata Management (OEMM) is a powerful solution designed for the effective management of metadata. It can harvest and catalog metadata from numerous sources, including relational databases, Hadoop environments, ETL processes, business intelligence systems, and data modeling tools. OEMM does more than simply store metadata; it also enables users to interactively search and browse through the data, while providing essential features like data lineage tracking, impact analysis, and the analysis of both semantic definitions and usage for every asset in its catalog. Utilizing advanced algorithms, OEMM seamlessly integrates metadata from various providers, resulting in a detailed view of the data's journey from its initial source to its final presentation or report. The platform supports a wide range of metadata sources, encompassing data modeling tools, databases, CASE tools, ETL engines, data warehouses, BI systems, and EAI environments, among others. This broad compatibility allows organizations to efficiently manage their metadata across multiple environments. Ultimately, OEMM empowers businesses to maximize the value of their data assets, enhancing decision-making and operational efficiency.

What is Oracle Big Data Discovery?

Oracle Big Data Discovery stands out as a highly visual and intuitive tool that leverages Hadoop's capabilities, transforming raw data into actionable insights for businesses in mere minutes, thus negating the need for extensive tool mastery or reliance on specialized experts. This innovative solution allows users to easily pinpoint relevant data sets within Hadoop, quickly explore the data to understand its significance, improve its quality through enhancement and refinement, analyze it for fresh insights, and disseminate findings while effortlessly reintegrating into Hadoop for organization-wide applications. By establishing BDD as the foundational element of your data lab, your organization can foster a unified environment for examining and navigating diverse data sources within Hadoop, which streamlines the development of projects and applications. Unlike traditional analytics platforms, BDD opens the door for a wider audience to interact with big data, drastically cutting down the duration required for data loading and updates, hence enabling teams to focus on significant data analysis and exploration. This transition not only boosts productivity but also democratizes data access, enabling a greater number of individuals to participate in data-driven decision-making processes, ultimately leading to improved outcomes for the organization. Furthermore, by empowering users across various skill levels, BDD cultivates a culture of collaboration and innovation in data utilization, fostering an environment where insights can be rapidly derived and acted upon.

Media

Media

Integrations Supported

Integrations Supported

Commvault Cloud
Commvault HyperScale X
Fortinet SD-WAN
Grafana Cloud
Hadoop
Microsoft Azure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
Simcenter Compose
VMware Cloud
VMware Tanzu CloudHealth

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/enterprise-metadata-management.html

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/big-data-discovery.html

Categories and Features

Metadata Management

Not specified

Categories and Features

Data Discovery

Self Service Data Preparation
Visual Analytics

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