Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A data lakehouse represents a contemporary, open architecture designed for storing, comprehending, and analyzing comprehensive data sets. It merges the robust capabilities of traditional data warehouses with the extensive flexibility offered by widely used open-source data technologies available today. Constructing a data lakehouse can be accomplished on Oracle Cloud Infrastructure (OCI), allowing seamless integration with cutting-edge AI frameworks and pre-configured AI services such as Oracle’s language processing capabilities. With Data Flow, a serverless Spark service, users can concentrate on their Spark workloads without needing to manage underlying infrastructure. Many Oracle clients aim to develop sophisticated analytics powered by machine learning, applied to their Oracle SaaS data or other SaaS data sources. Furthermore, our user-friendly data integration connectors streamline the process of establishing a lakehouse, facilitating thorough analysis of all data in conjunction with your SaaS data and significantly accelerating the time to achieve solutions. This innovative approach not only optimizes data management but also enhances analytical capabilities for businesses looking to leverage their data effectively.
Description
Oracle Roving Edge Infrastructure enhances the implementation of cloud workloads beyond traditional data centers. With ruggedized Oracle Roving Edge Devices (Oracle REDs), users can access cloud computing and storage solutions directly at the network's edge and in remote areas, facilitating quicker data processing right at the source and allowing for swifter data insights. Users can synchronize existing Oracle Cloud Infrastructure (OCI) virtual machines (VMs) and object storage with these devices through the same portal and tenancy tools available in public regions. Both public and private sector clients have the flexibility to deploy OCI services outside of Oracle Cloud Regions and Dedicated Region Cloud@Customer. This setup allows field operations teams to experience significantly reduced latency for cloud applications that are sensitive to delays, thus eliminating the need for multiple network hops to access remote services. Furthermore, these compact and portable server nodes extend Oracle Cloud Infrastructure capabilities to even the most isolated locations, maintaining functionality even during complete disconnection. By leveraging this innovative approach, organizations can ensure robust performance and reliability in challenging environments.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-lakehouse/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/cloud/roving-edge-infrastructure/
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
Product Features
Workload Automation
Alerts / Notifications
No
Audit Trails
No
Business Process Management
No
Cross-Platform Scheduling
No
Dashboard
No
Data Analysis / Visualization
No
Event-Triggers
No
Load Balancing
No
Resource-Based Scheduling
No
Robotic Process Automation (RPA)
No
Workflow Foundation Support
No