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ease
features
design
support

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Description

Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.

Description

Oracle Cloud Infrastructure (OCI) Data Catalog serves as a comprehensive metadata management service tailored for data professionals to facilitate data discovery and governance efforts. It is specifically designed to integrate seamlessly with the Oracle ecosystem, offering features such as an asset inventory, a business glossary, and a unified metastore for data lakes. Fully managed by Oracle, OCI Data Catalog harnesses the extensive capabilities and scalability of Oracle Cloud Infrastructure. Users can take advantage of the robust security, reliability, and performance that Oracle Cloud offers while utilizing the features of OCI Data Catalog. Developers have the option to leverage REST APIs and SDKs to incorporate OCI Data Catalog functionalities into their bespoke applications. Administrators benefit from a reliable system for overseeing user identities and access rights, enabling them to regulate access to catalog objects in accordance with security policies. By exploring data assets available in both Oracle's on-premises and cloud environments, organizations can begin to unlock significant value from their data resources. This comprehensive approach ensures that data governance and management align with organizational goals and compliance requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Acxiom InfoBase
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro
Cisco Secure Cloud Analytics
CreativeTime Attendance
Dagster
DataHub
Databricks Data Intelligence Platform
Meltano
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Prefect
SQL Server
Secoda
Slack
Snowflake

Integrations

Acxiom InfoBase
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro
Cisco Secure Cloud Analytics
CreativeTime Attendance
Dagster
DataHub
Databricks Data Intelligence Platform
Meltano
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Prefect
SQL Server
Secoda
Slack
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Great Expectations

Website

greatexpectations.io

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/big-data/data-catalog/

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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