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What is Oracle Roving Edge Infrastructure?

Oracle Roving Edge Infrastructure significantly advances the deployment of cloud workloads beyond conventional data centers. By utilizing ruggedized Oracle Roving Edge Devices (Oracle REDs), users gain direct access to cloud computing and storage solutions at the network's edge, even in remote locations, enabling faster data processing right at the source and leading to quicker insights. Users can easily synchronize existing Oracle Cloud Infrastructure (OCI) virtual machines (VMs) and object storage with these devices via the same portal and tenancy tools used in public regions. This flexibility allows both public and private sector clients to deploy OCI services outside of Oracle Cloud Regions and Dedicated Region Cloud@Customer. As a result, field operations teams benefit from significantly reduced latency for cloud applications that are sensitive to delays, effectively removing the need for multiple network hops to access remote services. Additionally, these compact and portable server nodes broaden Oracle Cloud Infrastructure capabilities to even the most remote areas, ensuring continued functionality even during complete disconnection. By embracing this innovative solution, organizations can not only achieve robust performance but also enjoy enhanced reliability in the most challenging environments, paving the way for new opportunities and efficient operations.

What is Oracle Cloud Infrastructure Data Lakehouse?

A data lakehouse embodies a modern, open architecture tailored for the storage, understanding, and analysis of large data sets. It combines the strong features of traditional data warehouses with the considerable adaptability provided by popular open-source data technologies currently in use. Building a data lakehouse is feasible on Oracle Cloud Infrastructure (OCI), which supports effortless integration with advanced AI frameworks and pre-built AI services, including Oracle’s language processing tools. Users can utilize Data Flow, a serverless Spark service, enabling them to focus on their Spark tasks without the hassle of infrastructure management. Many clients of Oracle seek to create advanced analytics driven by machine learning, applicable to their Oracle SaaS data or other SaaS sources. In addition, our intuitive data integration connectors simplify the setup of a lakehouse, promoting comprehensive analysis of all data alongside your SaaS information and considerably speeding up the solution delivery process. This groundbreaking methodology not only streamlines data governance but also significantly boosts analytical prowess for organizations aiming to harness their data more efficiently. Ultimately, the integration of these technologies empowers businesses to make data-driven decisions with greater agility and insight.

Media

Media

Integrations Supported

NLSQL
Oracle Cloud Infrastructure

Integrations Supported

NLSQL
Oracle Cloud Infrastructure

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

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/cloud/roving-edge-infrastructure/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/data-lakehouse/

Categories and Features

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

Categories and 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

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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