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Data Tools in Oracle Autonomous Database

Oracle Autonomous Database comes with built-in, easy-to-use self-service data management tools. Business and data analysts can quickly connect to other systems, load data, construct reusable transformation processes, generate performance-optimized business models for use in analytics, and find immediate data insights and anomalies.

Get started with data tools for the Oracle Autonomous Database with free workshops.

Data tools features

Wizard-driven data ingest

Data loading selects data from your local computer, tables in other databases, or cloud storage. It then loads that data into new or existing tables in the Oracle Autonomous Database, links to data held in cloud storage, or continuously feeds the data in from a connected cloud store as it is generated.


Data transformation without coding

An easy-to-use user interface enables you to create data transformation flows on data from a wide range of connected systems — without writing any code. Drag and drop the components on the design canvas and connect them to design reusable data flows that clean, join, merge, aggregate and optimize your data for downstream use.


Smart business models

Create business models to describe related business entities derived from data in an Oracle Autonomous Database schema or other sources. The tool enables you to create a common semantic model on top of your data identifying hierarchies, dimensions, measures and calculations, which can then be used in a number of analysis applications, with query performance fully optimized by the Oracle Autonomous Database.


Automated data insights

Quickly gain insights and detect anomalies from your data using built-in algorithms from the business models constructed in the data analysis tool, or from base tables.


Find and understand your data

Understand data dependencies and the impact of changes. Use the catalog to get information about the entities in the database, such as data sets, data origination, a statistical analysis of each entities’ data, and the impact that changing the source of an entity may have on other entities.


See what top industry analysts are saying about data tools

Wikibon: ADW has an incredibly rich ecosystem of database types

Wikibon

Wikibon finds Oracle Autonomous Database ecosystem of database types, models, tools, and applications to be the best.

Read the Wikibon report (PDF)
ESG

ESG

ESG finds Oracle Autonomous Database democratizing organizational data.

Read the blog
dbInsight finds Oracle the first to deliver a self-driving database in both the cloud and on-premises

OMDIA

OMIDIA finds Oracle Autonomous Database enabling data analysts, citizen data scientists, and business users with self-service tools.

Read the OMDIA report (PDF)
March 17, 2021

Autonomous Database data tools

Patrick Wheeler, Vice President Product Management

We've made the database administrator’s life easy with Autonomous Data Warehouse, taking the drudgery out of the job, and freeing up time to do higher value work. But there are other users of the database–data analysts, application developers, and data scientists, too.

Read the complete post

Data tools resources

Documentation

Data Tools documentation

Cloud Learning
related content

Newsletters

Information, tips, tricks, and sample code for an autonomous, cloud-driven world.

Related products and solutions

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Self-driving database

Oracle Autonomous Database for analytics and data warehousing

Data marts, Data Warehouse, and Data Lakes

Oracle Autonomous Database for transaction processing and mixed workloads

Database for all applications

Departmental Data Warehouse

A self-service data analytics solution for business teams

Get started with data tools


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