Data Warehouse
Data Warehouse
A fully automated cloud database service optimized for analytic workloads, including data marts, data warehouses, and data lakes. It is preconfigured with columnar format, partitioning, and large joins to simplify and accelerate database provisioning, extracting, loading, and transforming data; running sophisticated reports; generating predictions; and creating machine learning models. With Autonomous Database, data scientists, business analysts, and non-experts can rapidly, easily, and cost-effectively discover business insights using data of any size and type.
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Oracle Data Warehouse
Product Description
The complexities of data warehouses and the need for IT involvement make it difficult for lines-of-business to access and use real-time data and advanced analytics to speed up the generation of actionable insights.
The typical solution to get to the needed answer gets data extracts out of isolated applications or systems, brings those data sets into a spreadsheet, then manually blends and analyzes the data to create the desired report or analysis.
This process is labor intensive, complex, and prone to human error, which raises questions about data accuracy and data security.
Refer to this LOB Analytics with Autonomous Data Warehouse architecture to understand the components and complexity in implementing the solution
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Product FEAtures
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The architecture includes the following general components: Oracle Cloud Infrastructure: Data is staged and warehoused using services provisioned in Oracle Cloud Infrastructure.
Oracle Autonomous Data Warehouse: Standard scripts provided with Oracle SQL Developer copy the data from temporary storage into a pre-defined schema in the data warehouse. The data warehouse provides scalable, dynamic data warehousing to support modern analysis and data management.
Oracle Analytics Desktop: This freely available analytics software provide data storytelling with visualization, what-if analysis and collaboration from your desktop.
Key benefits
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