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Description
Oracle Big Data Preparation Cloud Service is a comprehensive managed Platform as a Service (PaaS) solution that facilitates the swift ingestion, correction, enhancement, and publication of extensive data sets while providing complete visibility in a user-friendly environment. This service allows for seamless integration with other Oracle Cloud Services, like the Oracle Business Intelligence Cloud Service, enabling deeper downstream analysis. Key functionalities include profile metrics and visualizations, which become available once a data set is ingested, offering a visual representation of profile results and summaries for each profiled column, along with outcomes from duplicate entity assessments performed on the entire data set. Users can conveniently visualize governance tasks on the service's Home page, which features accessible runtime metrics, data health reports, and alerts that keep them informed. Additionally, you can monitor your transformation processes and verify that files are accurately processed, while also gaining insights into the complete data pipeline, from initial ingestion through to enrichment and final publication. The platform ensures that users have the tools needed to maintain control over their data management tasks effectively.
Description
Graph databases, which are a key feature of Oracle's converged database solution, remove the necessity for establishing a distinct database and transferring data. This allows analysts and developers to conduct fraud detection in the banking sector, uncover relationships and links to data, and enhance traceability in smart manufacturing, all while benefiting from enterprise-level security, straightforward data ingestion, and robust support for various data workloads. The Oracle Autonomous Database incorporates Graph Studio, offering one-click setup, built-in tools, and advanced security measures. Graph Studio streamlines the management of graph data and facilitates the modeling, analysis, and visualization throughout the entire graph analytics lifecycle. Oracle supports both property and RDF knowledge graphs, making it easier to model relational data as graph structures. Additionally, interactive graph queries can be executed directly on the graph data or via a high-performance in-memory graph server, enabling efficient data processing and analysis. This integration of graph technology enhances the overall capabilities of data management within Oracle's ecosystem.
API Access
Has API
API Access
Has API
Integrations
Eloqua
Jira Work Management
Kinetica
MySQL
NetSuite
Omnis Studio
Oracle APEX
Oracle Cloud CX
Oracle Commerce
Oracle Database
Integrations
Eloqua
Jira Work Management
Kinetica
MySQL
NetSuite
Omnis Studio
Oracle APEX
Oracle Cloud CX
Oracle Commerce
Oracle Database
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
Oracle
Founded
1977
Country
United States
Website
docs.oracle.com/en/cloud/paas/big-data-prep-cloud/index.html
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/database/graph/
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis