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Autonomous Data Warehouse
Use Case Patterns

Autonomous Data Warehouse

Oracle Autonomous Data Warehouse is Oracle's new, fully managed database tuned and optimized for data warehouse workloads with the market-leading performance of Oracle Database. It delivers a completely new, comprehensive cloud experience for data warehousing that is easy, fast, and elastic.





What's the difference between a data warehouse, data mart and a data lake?
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Data Warehouse Reference Architecture Patterns

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Departmental Data Warehouse Pattern

A departmental data warehouse is used by individual teams or individual departments or groups and is intentionally limited in scope because it focuses on a clearly defined subset of data usually managed within a spreadsheet package.

Autonomous Database makes it easy to move departmental marts to a safe, secure always-on cloud...


Departmental Data Warehouse Customer Example



AoA Innovates Healthcare with Autonomous Database


AoA's benefited from zero maintenance, patching, or tuning database which freed up 6 financial and IT analysts. By using a modern data warehouse they were able to deliver real-time performance dashboards and reports for providers for more patient time.

Doubled patient count without adding maintenance and support IT costs and resources

Where To Next...

Use the following topics to explore how you can get more from your Departmental Data Warehouse:

Discover How To Organize Your Data...

 
ADD
CUBES
Add A Business Model Over Your Schema With Analytical Views



 
CATALOG YOUR DATA
Catalog Your Data Sets And Build A Business Glossary Using Data Catalog



Discover New Ways to Analyze Your Data...

 
DATA SCIENCE
Discover New Insights By Building Machine Learning Models


 
EXPLORE MAPS
Overlay Maps On To Your Data Using Spatial Analytics


 
DISCOVER LINKS
Explore Connections Within Your Data Using Property Graphs



Learn How To Protect Your Sensitive Data...

 
PROTECT DATA
Discover, Mask. Secure, Monitor All Your Data Using Data Safe



 
AUDITING

Add In-Database Auditing to Control And Monitor Data Access.




Broaden The Scope Of Your Departmental Data Warehouse...

 
ENTERPRISE
APPS
Intergate Additional
Richer Data Sets From
Enterprise Applications



 
ADD
REAL-TIME
Capture Real-Time Data From Operational Systems and IoT Devices Using Streams


 
ADD
A LAKE
Expand Your Departmental Data Warehouse To Include A Data Lake


Departmental Data Warehouse From E-Business Suite

Analysts need an efficient way to consolidate data from multiple financial systems and other data sources into a trusted, maintainable, and query-optimized source.

Typically data mart projects struggle to optimize data from multiple sources which makes it very difficult to effectively analyze the data and generate actionable insights.

Autonomous Data Warehouse makes it easy to resolve these key challenges...


Departmental Data Warehouse Customer Example



DX Marketing innovates campaign management


Oracle Autonomous Data Warehouse helps DX Marketing integrate terabytes of 3rd-party data offline with online data in minutes with Oracle Analytics and Marketing Cloud for 14X revenue growth, reducing clients' customer acquisition costs by 52%.

Where To Next...

Use the following topics to explore how you can get more from your Departmental Data Warehouse:

Discover How To Organize Your Data...

 
ADD
CUBES
Add A Business Model Over Your Schema With Analytical Views



Discover New Ways to Analyze Your Data...

 
DATA SCIENCE
Discover New Insights By Building Machine Learning Models

 
EXPLORE MAPS
Overlay Maps On To Your Data Using Spatial Analytics

 
DISCOVER LINKS
Explore Connections And Relationships Within Your Data Using Property Graphs



Learn How To Protect Your Sensitive Data...

 
PROTECT DATA
Discover, Mask. Secure, Monitor All Your Data Using Data Safe



 
AUDITING
Add Auditing to Control And Monitor Data Access.




Broaden The Scope Of Your Departmental Data Warehouse...

 
ADD
REAL-TIME
Capture Real-Time Data From Operational Systems and IoT Devices Using Streams


 
ADD
A LAKE
Expand Your Departmental Data Warehouse To Include A Data Lake


Departmental Data Warehouse For Human Capital

Human resource data is often distributed in multiple systems across the enterprise and can't easily be integrated and analyzed to produce actionable insights.

This makes it very difficult to capture raw application data, enrich it with data from other sources and produce actionable and predictive insights.

Autonomous Data Warehouse makes it easy to resolve these key challenges......

Where To Next...

Use the following topics to explore how you can get more from your Departmental Data Warehouse:

Discover How To Organize Your Data...

 
ADD
CUBES
Add A Business Model Over Your Schema With Analytical Views



Discover New Ways to Analyze Your Data...

 
EXPLORE MAPS
Overlay Maps On To Your Data Using Spatial Analytics

 
DISCOVER LINKS
Explore Connections And Relationships Within Your Data Using Property Graphs



Learn How To Protect Your Sensitive Data...

 
PROTECT DATA
Discover, Mask. Secure, Monitor All Your Data Using Data Safe



 
AUDITING
Add Auditing to Control And Monitor Data Access.




Broaden The Scope Of Your Departmental Data Warehouse...

 
ADD
A LAKE
Expand Your Departmental Data Warehouse To Include A Data Lake


Enterprise Data Warehouse with Data Lakes

A modern data warehouse collects data from a wide variety of sources, both internal or external. The data is usually structured, often from relational databases, but it can be unstructured too pulled from "big data" sources such as Internet of Things devices etc.


Autonomous Data Warehouse makes it easy to integrate and secure data from many sources and then generate richer, smarter, faster business insights...





Departmental Data Warehouse Customer Example



OUTFRONT Media Innovates Sales with Autonomous Database,


OUTFRONT Media uses ADW and Analytics to ingest 1TB of external data in 30 minutes vs weeks with it's previous data warehouse. The business teams are benefiting from Autnomous Databases self-tuning features which has helped to reduce complex pricing queries to 6 minutes then to 2 seconds.

Overall, they have seen a 25% increase in productivity for more valuable data modeling and dashboards.

Where To Next...

Use the following topics to explore how you can get more from your Departmental Data Warehouse:

Discover How To Organize Your Data...

 
ADD
CUBES
Add A Business Model Over Your Schema With Analytical Views



Discover New Ways to Analyze Your Data...

 
EXPLORE MAPS
Overlay Maps On To Your Data Using Spatial Analytics

 
DISCOVER LINKS
Explore Connections And Relationships Within Your Data Using Property Graphs



Learn How To Protect Your Sensitive Data...

 
PROTECT DATA
Discover, Mask. Secure, Monitor All Your Data Using Data Safe



 
AUDITING
Add Auditing to Control And Monitor Data Access.




Extending Your Oracle Reference Architecture Pattern
Working With Analytic Views

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Extending Your Oracle Reference Architecture Pattern
Using Machine Learning

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Extending Your Oracle Reference Architecture Pattern
Using Spatial Analytics

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Extending Your Oracle Reference Architecture Pattern
Using Graph Analytics

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Extending Your Oracle Reference Architecture Pattern
Building A Data Catalog

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Extending Your Oracle Reference Architecture Pattern
Protecting Your Data With Data Safe

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Extending Your Oracle Reference Architecture Pattern
Controlling Access To Your Data With Database Vault

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You can find more reference architectures patterns for Autonomous Data Warehouse...
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Data Warehouse Solution Patterns

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ADW With Private Endpoints

This architecture uses an autonomous database (which can be an Oracle Autonomous Transaction Processing database or an Oracle Autonomous Data Warehouse) provisioned in a private subnet; that is with a private endpoint.

Building a Data Science Environment

This is a flexible architecture that can support multiple scenarios based on Oracle Machine Learning in Autonomous Data Warehouse. In addition to Autonomous Data Warehouse, it includes Data Catalog and Oracle Analytics Cloud along with three Oracle Cloud Infrastructure Compute instances.

Automated Data Loading in the Cloud

This reference architecture shows how you can use a serverless function to automate the process of extracting data from files generated by various databases or applications and loading the data into a data warehouse for analysis.




Visit the Oracle Architecture Center..
You can find more solution playbooks for Autonomous Data Warehouse...
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