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What is Cloudera Data Science Workbench?

Facilitate the transition of machine learning from conceptual frameworks to real-world applications with an intuitive experience designed for your traditional platform. Cloudera Data Science Workbench (CDSW) offers a convenient environment for data scientists, enabling them to utilize Python, R, and Scala directly from their web browsers. Users can easily download and investigate the latest libraries and frameworks within adaptable project configurations that replicate the capabilities of their local setups. CDSW guarantees solid connectivity not only to CDH and HDP but also to critical systems that bolster your data science teams in their analytical tasks. In addition, Cloudera Data Science Workbench allows data scientists to manage their analytics pipelines autonomously, incorporating built-in scheduling, monitoring, and email notifications. This platform not only fosters the rapid development and prototyping of cutting-edge machine learning projects but also streamlines the deployment process into a production setting. With these workflows made more efficient, teams can prioritize delivering meaningful outcomes while enhancing their collaborative efforts. Ultimately, this shift encourages a more productive environment for innovation in data science.

What is Cloudera Data Platform?

Utilize the strengths of both private and public cloud environments with a distinctive hybrid data platform designed for modern data frameworks, which facilitates data access from virtually anywhere. Cloudera distinguishes itself as a versatile hybrid data platform, providing unmatched flexibility that enables users to select any cloud service, any analytics tool, and any data type they require. It simplifies the processes of managing data and conducting analytics, ensuring top-notch performance, scalability, and security for data access across diverse locations. By adopting Cloudera, organizations can leverage the advantages of both private and public cloud infrastructures, resulting in rapid value creation and improved governance over IT assets. In addition, Cloudera allows users to securely move data, applications, and personnel back and forth between their data center and multiple cloud environments, regardless of where the data resides. This two-way functionality not only boosts operational efficiency but also cultivates a more flexible and responsive approach to data management. Ultimately, Cloudera equips organizations with the tools necessary to navigate the complexities of data in a connected world, enhancing their strategic decision-making capabilities.

Media

Media

Integrations Supported

Cloudera
Amadea
Amazon S3
Apache Hadoop YARN
Apache Hive
Azure Marketplace
Cloudera Data Platform
Cloudera Data Science Workbench
Docker
Google Cloud Storage
IBM Db2 Big SQL
IBM Netezza Performance Server
Progress DataDirect
Protegrity
R Systems
Value Innovation Labs Enterprise HRMS
Value Innovation Labs Marketing Automation Platform
doolytic
jethro

Integrations Supported

Cloudera
Amadea
Amazon S3
Apache Hadoop YARN
Apache Hive
Azure Marketplace
Cloudera Data Platform
Cloudera Data Science Workbench
Docker
Google Cloud Storage
IBM Db2 Big SQL
IBM Netezza Performance Server
Progress DataDirect
Protegrity
R Systems
Value Innovation Labs Enterprise HRMS
Value Innovation Labs Marketing Automation Platform
doolytic
jethro

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

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/cloudera-data-platform.html

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Management Platforms (DMP)

Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization

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