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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

Transforming a week's labor of manual data preparation into mere minutes, our innovative Data Preparer software streamlines the path to insights through intelligent data handling. This fresh approach to data preparation allows users to specify their requirements, letting the software automatically determine the best way to fulfill them. With Data Preparer, labor-intensive programming is no longer necessary, as it efficiently manages data preparation tasks without the need for intricate coding. Users simply outline their needs, supplying data sources, a desired structure, quality benchmarks, and sample data. The clarity provided by the target structure and quality priorities ensures precise requirements, while the example data aids Data Preparer in efficiently cleaning and integrating the datasets. Once the parameters are set, Data Preparer takes over, analyzing relationships between the various data sources and the intended target, effectively populating the target with the necessary information. Moreover, it assesses multiple methods for combining the sources and adapts the data format accordingly, making the entire process seamless and user-friendly. In this way, Data Preparer not only simplifies the data preparation process but also enhances the overall quality of the analysis.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
Facebook Ads
Google Analytics
JSON
PySpark
SAP Cloud Platform
Salesforce
Snowflake
pandas

Integrations

Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
Facebook Ads
Google Analytics
JSON
PySpark
SAP Cloud Platform
Salesforce
Snowflake
pandas

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$2500 per user per year
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/data-wrangler/

Vendor Details

Company Name

The Data Value Factory

Founded

2018

Country

United Kingdom

Website

thedatavaluefactory.com

Product Features

Data Preparation

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

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 Preparation

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

Alternatives

Alternatives

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