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What is Oracle Cloud Infrastructure Resource Manager?

Oracle Cloud Infrastructure (OCI) Resource Manager is an Oracle-managed service that simplifies the deployment and management of resources within its cloud ecosystem. Unlike the Infrastructure-as-Code (IaC) tools offered by other cloud providers, this service leverages Terraform, a well-established open-source standard in the industry, allowing DevOps teams to build and manage their infrastructure seamlessly across different environments. By implementing IaC methodologies, developers can ensure that their configuration deployments are both consistent and repeatable, which greatly enhances productivity levels. Furthermore, Resource Manager diligently logs all user-initiated modifications to the infrastructure, complete with timestamps, ensuring thorough compliance and auditing capabilities. Explore a specific architecture and Terraform configuration that utilizes Oracle Autonomous Data Warehouse in conjunction with Oracle Analytics Cloud, aimed at improving data management efficiency and effectiveness in your projects. This integration not only optimizes data processing but also equips organizations with the tools necessary to extract valuable insights from their data resources, leading to informed decision-making and strategic growth. Ultimately, this combination of services exemplifies how technology can drive operational excellence and support data-driven business initiatives.

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
Terraform

Integrations Supported

NLSQL
Oracle Cloud Infrastructure
Terraform

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/devops/resource-manager/

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/data-lakehouse/

Categories and Features

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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Terraform

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