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What is Oracle Big Data Preparation?

Oracle Big Data Preparation Cloud Service is an all-encompassing managed Platform as a Service (PaaS) that streamlines the processes of data ingestion, correction, enhancement, and publication for large data sets, all within an intuitive interface that offers complete transparency. This service integrates effortlessly with other Oracle Cloud offerings, such as the Oracle Business Intelligence Cloud Service, which enhances the potential for in-depth analysis downstream. Among its core features are profile metrics and visual representations that become accessible after data ingestion, allowing users to see a visual summary of each profiled column alongside the results of duplicate entity evaluations conducted on the entire data set. The Home page of the service makes it easy for users to visualize governance tasks and access essential runtime metrics, data health reports, and alerts that keep them updated on their data’s status. Furthermore, users can oversee their transformation processes to ensure files are processed correctly, while also gaining comprehensive insights into the entire data journey, from initial ingestion through various enrichment stages to final publication. This platform is designed to equip users with the necessary tools for effective data management, empowering them to take charge of their data preparations confidently. Ultimately, Oracle Big Data Preparation Cloud Service not only enhances data handling efficiency but also fosters a robust environment for data governance.

What is Hyper-Q?

Adaptive Data Virtualizationâ„¢ technology allows organizations to run their existing applications on modern cloud data warehouses with minimal changes or configuration. By utilizing Datometry Hyper-Qâ„¢, companies can quickly adopt new cloud databases, effectively control ongoing operational expenses, and improve their analytical capabilities, thereby hastening their digital transformation initiatives. This virtualization software from Datometry enables any legacy application to operate on any cloud database, promoting seamless interoperability between applications and various databases. As a result, businesses can choose their desired cloud database without the risk of dismantling, rewriting, or replacing their current applications. Moreover, it guarantees runtime compatibility for applications by emulating and transforming the functionalities of traditional data warehouses. This innovative solution can be easily implemented across major cloud platforms such as Azure, AWS, and GCP. Furthermore, applications can utilize existing JDBC, ODBC, and native connectors without needing modifications, ensuring a seamless transition to cloud environments. It also facilitates connections with prominent cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, which enhances opportunities for data integration and comprehensive analysis. With these capabilities, organizations are better positioned to leverage cloud technologies and drive business innovation.

Media

Media

Integrations Supported

Amazon Redshift
Amazon Web Services (AWS)
Azure DevOps Projects
DXC Cloud
Google Cloud BigQuery
Google Cloud Platform
Jira Work Management
Microsoft 365
Microsoft Azure
MySQL
NetSuite
Oracle APEX
Oracle Cloud HCM
Oracle Database
Oracle Fusion Cloud Procurement
QwikPoint
SAP Cloud Platform
Salesforce
TurningPoint
Zoho CRM

Integrations Supported

Amazon Redshift
Amazon Web Services (AWS)
Azure DevOps Projects
DXC Cloud
Google Cloud BigQuery
Google Cloud Platform
Jira Work Management
Microsoft 365
Microsoft Azure
MySQL
NetSuite
Oracle APEX
Oracle Cloud HCM
Oracle Database
Oracle Fusion Cloud Procurement
QwikPoint
SAP Cloud Platform
Salesforce
TurningPoint
Zoho CRM

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

docs.oracle.com/en/cloud/paas/big-data-prep-cloud/index.html

Company Facts

Organization Name

Datometry

Date Founded

2013

Company Location

United States

Company Website

datometry.com/products/database-migration/

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Categories and Features

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

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