Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

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

Lakeflow Designer offers a no-code solution for data preparation that is production-ready and ideal for teams looking to streamline their processes. It empowers users to prepare and transform data using AI-driven authoring directly within Databricks. This enables contemporary data teams to conduct no-code operations seamlessly on Databricks, allowing them to manage data preparation and transformation through natural language, all while avoiding the complexities of new tools, unnecessary rework, and governance issues. By combining the capabilities of Lakeflow with a user-friendly interface, Lakeflow Designer delivers visual data preparation that maintains the robust power, scalability, and governance features of a central data platform. The integration of Genie Code allows teams to create and fine-tune transformations informed by the data’s schema, lineage, and relevant business context, which enhances precision and minimizes manual workloads. Furthermore, it simplifies the transition to production by enabling users to prepare data right at its source, ensuring that transformations can be utilized in production with Lakeflow Jobs without the need to reconstruct or translate logic between different tools. This cohesive approach not only streamlines workflows but also enhances overall productivity for data teams.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Databricks
Amazon Athena
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
Facebook Ads
Google Analytics
JSON
Meta Ads
PySpark
SAP Cloud Platform
Salesforce
Snowflake
pandas

Integrations

Databricks
Amazon Athena
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
Facebook Ads
Google Analytics
JSON
Meta Ads
PySpark
SAP Cloud Platform
Salesforce
Snowflake
pandas

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Databricks

Founded

2013

Country

United States

Website

www.databricks.com/product/data-engineering/lakeflow-designer

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 Preparation

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

Alternatives

Alternatives

Prophecy Reviews

Prophecy

Prophecy.ai