(39)
4.2 out of 5
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Cloudera Data Platform
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Cloudera Data Platform Features
What are the features of Cloudera Data Platform?
Data Governance
- User Access Management
Data Preparation
- Search
- Data Transformation
Artificial Intelligence
- Machine Learning Recommendations
Cloudera Data Platform Categories on G2
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Data Governance
User Access Management | Allows administrators to assign role-based user access for specific data sets This feature was mentioned in 10 Cloudera Data Platform reviews. | 88% (Based on 10 reviews) | |
Dynamic Data Masking | Hides and masks sensitive data automatically based on user permissions | Not enough data | |
Data Lineage | Provides historical insights into original data sources and transformations made to data sets | Not enough data |
Data Preparation
Search | Offers simple search capabilities to discover specific data sets 10 reviewers of Cloudera Data Platform have provided feedback on this feature. | 92% (Based on 10 reviews) | |
Data Quality and Cleansing | Allows users and administrators to easily clean data to maintain quality and integrity | Not enough data | |
Data Transformation | Converts data formats of source data into the format required for the reporting system without mistakes This feature was mentioned in 10 Cloudera Data Platform reviews. | 97% (Based on 10 reviews) | |
Data Modeling | Tools to (re)structure data in a manner that allows extracting insights quickly and accurately | Not enough data |
Collaboration
Commenting | Allows users to comment on data sets to help future users better interact and interpret the data | Not enough data | |
Profiling and Classification | Permits profiling of data sets for increased organization, both by users and machine learning | Not enough data | |
Business and Data Glossary | Creates a business glossary for faster understanding by the average business user | Not enough data | |
Metadata Management | Indexes metadata descriptions for easier searching and enhanced insights | Not enough data |
Artificial Intelligence
Machine Learning Recommendations | As reported in 10 Cloudera Data Platform reviews. Automates recommendations for users based on machine learning functionality | 95% (Based on 10 reviews) | |
Natural Language Query | Offers natural language querying functionality for non-technical users | Not enough data | |
Automatic Data Cleansing | Cleans data to improve quality via automation | Not enough data |
Data Management
Data Integration | Consolidate data from various disparate sources in a single unified view | Not enough data | |
Data Discovery | Understand the state of data, applications, systems and services | Not enough data | |
Multi - Platform | Manage data across environments (on-premises cloud, hybrid, and multi-cloud) | Not enough data | |
Metadata | Provides metadata management and lineage capabilities | Not enough data |
Analytics
Data Analytics | Supports advanced analytics solutions for better business decision making | Not enough data |
Security
Compliance | Rules and regulations inherited from source systems or defined to secure sensitive data | Not enough data | |
Governance | Grant or restrict data access and control | Not enough data | |
Data Protection | Built - In Backup and Disaster Recovery | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
Agentic AI - Machine Learning Data Catalog
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Data Fabric
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
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