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4.9 out of 5
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Cloudera Data Engineering
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Cloudera Data Engineering Features
What are the features of Cloudera Data Engineering?
Model Development
- Language Support
- Drag and Drop
- Model Training
- Pre-Built Algorithms
- Model Training
Machine/Deep Learning Services
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks
- Natural Language Generation
Deployment
- Managed Service
- Application
- Scalability
System
- Data Ingestion & Wrangling
Generative AI
- AI Text-to-Image
Cloudera Data Engineering Categories on G2
Filter for Features
Model Development
Language Support | As reported in 15 Cloudera Data Engineering reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | 98% (Based on 15 reviews) | |
Drag and Drop | As reported in 16 Cloudera Data Engineering reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models | 94% (Based on 16 reviews) | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development This feature was mentioned in 14 Cloudera Data Engineering reviews. | 93% (Based on 14 reviews) | |
Model Training | Supplies large data sets for training individual models This feature was mentioned in 15 Cloudera Data Engineering reviews. | 92% (Based on 15 reviews) | |
Pre-Built Algorithms | Provides users with pre-built algorithms for simpler model development 14 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 94% (Based on 14 reviews) | |
Model Training | Supplies large data sets for training individual models This feature was mentioned in 14 Cloudera Data Engineering reviews. | 94% (Based on 14 reviews) | |
Feature Engineering | Based on 14 Cloudera Data Engineering reviews. Transforms raw data into features that better represent the underlying problem to the predictive models | 94% (Based on 14 reviews) |
Machine/Deep Learning Services
Computer Vision | As reported in 15 Cloudera Data Engineering reviews. Offers image recognition services | 92% (Based on 15 reviews) | |
Natural Language Processing | Offers natural language processing services 15 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 93% (Based on 15 reviews) | |
Natural Language Generation | Offers natural language generation services This feature was mentioned in 15 Cloudera Data Engineering reviews. | 93% (Based on 15 reviews) | |
Artificial Neural Networks | Based on 15 Cloudera Data Engineering reviews. Offers artificial neural networks for users | 92% (Based on 15 reviews) | |
Computer Vision | Offers image recognition services This feature was mentioned in 14 Cloudera Data Engineering reviews. | 92% (Based on 14 reviews) | |
Natural Language Understanding | Offers natural language understanding services 14 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 95% (Based on 14 reviews) | |
Natural Language Generation | Offers natural language generation services This feature was mentioned in 14 Cloudera Data Engineering reviews. | 95% (Based on 14 reviews) | |
Deep Learning | Provides deep learning capabilities 13 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 96% (Based on 13 reviews) |
Deployment
Managed Service | As reported in 15 Cloudera Data Engineering reviews. Manages the intelligent application for the user, reducing the need of infrastructure | 93% (Based on 15 reviews) | |
Application | As reported in 16 Cloudera Data Engineering reviews. Allows users to insert machine learning into operating applications | 96% (Based on 16 reviews) | |
Scalability | Provides easily scaled machine learning applications and infrastructure 16 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 94% (Based on 16 reviews) | |
Managed Service | Manages the intelligent application for the user, reducing the need of infrastructure 13 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 91% (Based on 13 reviews) | |
Application | Allows users to insert machine learning into operating applications This feature was mentioned in 13 Cloudera Data Engineering reviews. | 94% (Based on 13 reviews) | |
Scalability | Provides easily scaled machine learning applications and infrastructure 13 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 95% (Based on 13 reviews) |
System
Data Ingestion & Wrangling | Gives user ability to import a variety of data sources for immediate use 15 reviewers of Cloudera Data Engineering have provided feedback on this feature. | 94% (Based on 15 reviews) | |
Language Support | As reported in 13 Cloudera Data Engineering reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript | 92% (Based on 13 reviews) | |
Drag and Drop | Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 13 Cloudera Data Engineering reviews. | 92% (Based on 13 reviews) |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. This feature was mentioned in 13 Cloudera Data Engineering reviews. | 95% (Based on 13 reviews) | |
AI Text Summarization | As reported in 13 Cloudera Data Engineering reviews. Condenses long documents or text into a brief summary. | 92% (Based on 13 reviews) | |
AI Text-to-Image | Based on 14 Cloudera Data Engineering reviews. Provides the ability to generate images from a text prompt. | 90% (Based on 14 reviews) |
Agentic AI - Data Science and Machine Learning Platforms
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 | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
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