Oracle Cloud Infrastructure Data Integration Description

Effortlessly extract, transform, and load (ETL) data for analytics and data science applications. Create seamless, code-free data flows directed towards data lakes and data marts. This functionality is included within Oracle’s extensive suite of integration tools. The user-friendly interface allows for easy configuration of integration parameters and automates the mapping of data between various sources and targets. You can utilize pre-built operators like joins, aggregates, or expressions to effectively manipulate your data. Central management of your processes enables the use of parameters to adjust specific configuration settings during runtime. Users can actively prepare their datasets and observe transformation results in real-time for process validation. Enhance your productivity and adjust data flows instantly, without needing to wait for execution completion. Additionally, this solution helps prevent broken integration flows and minimizes maintenance challenges as data schemas change over time, ensuring a smooth data management experience. This capability empowers users to focus on gaining insights from their data rather than grappling with technical difficulties.

Pricing

Pricing Starts At:
$0.04 per GB per hour
Free Trial:
Yes

Integrations

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Company Details

Company:
Oracle
Year Founded:
1977
Headquarters:
United States
Website:
www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/

Media

Oracle Cloud Infrastructure Data Integration Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Business Hours
Online Support

Oracle Cloud Infrastructure Data Integration Features and Options

Data Science Software

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Integration Software

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

ETL Software

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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