Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon SageMaker Data Wrangler significantly shortens the data aggregation and preparation timeline for machine learning tasks from several weeks to just minutes. This tool streamlines data preparation and feature engineering, allowing you to execute every phase of the data preparation process—such as data selection, cleansing, exploration, visualization, and large-scale processing—through a unified visual interface. You can effortlessly select data from diverse sources using SQL, enabling rapid imports. Following this, the Data Quality and Insights report serves to automatically assess data integrity and identify issues like duplicate entries and target leakage. With over 300 pre-built data transformations available, SageMaker Data Wrangler allows for quick data modification without the need for coding. After finalizing your data preparation, you can scale the workflow to encompass your complete datasets, facilitating model training, tuning, and deployment in a seamless manner. This comprehensive approach not only enhances efficiency but also empowers users to focus on deriving insights from their data rather than getting bogged down in the preparation phase.
Description
Coiled simplifies the process of using Dask at an enterprise level by managing Dask clusters within your AWS or GCP accounts, offering a secure and efficient method for deploying Dask in a production environment. With Coiled, you can set up cloud infrastructure in mere minutes, allowing for a seamless deployment experience with minimal effort on your part. You have the flexibility to tailor the types of cluster nodes to meet the specific requirements of your analysis. Utilize Dask in Jupyter Notebooks while gaining access to real-time dashboards and insights about your clusters. The platform also facilitates the easy creation of software environments with personalized dependencies tailored to your Dask workflows. Coiled prioritizes enterprise-level security and provides cost-effective solutions through service level agreements, user-level management, and automatic termination of clusters when they’re no longer needed. Deploying your cluster on AWS or GCP is straightforward and can be accomplished in just a few minutes, all without needing a credit card. You can initiate your code from a variety of sources, including cloud-based services like AWS SageMaker, open-source platforms like JupyterHub, or even directly from your personal laptop, ensuring that you have the freedom and flexibility to work from anywhere. This level of accessibility and customization makes Coiled an ideal choice for teams looking to leverage Dask efficiently.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Snowflake
Yes
pandas
Yes
Amazon Athena
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amazon SageMaker Unified Studio
Yes
Apache Parquet
Yes
Dask
No
Databricks
Yes
Integrations
Amazon Web Services (AWS)
Yes
Snowflake
Yes
pandas
Yes
Amazon Athena
No
Amazon Redshift
No
Amazon S3
No
Amazon SageMaker Unified Studio
No
Apache Parquet
No
Dask
Yes
Databricks
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.05 per CPU hour
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/data-wrangler/
Vendor Details
Company Name
Coiled
Website
coiled.io
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No