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What is Lakeflow Designer?

Lakeflow Designer provides a no-code data preparation solution that is ready for production, making it an excellent choice for teams aiming to optimize their workflows. It allows users to leverage AI-driven authoring directly within Databricks for data preparation and transformation. This functionality enables modern data teams to perform no-code tasks effortlessly on Databricks, facilitating data management through natural language while circumventing the challenges of adopting new tools, excessive rework, and governance hurdles. By integrating Lakeflow's capabilities with an intuitive interface, Lakeflow Designer offers visual data preparation that preserves the essential power, scalability, and governance aspects of a centralized data platform. The inclusion of Genie Code further enhances the platform by allowing teams to develop and refine transformations based on the data's schema, lineage, and pertinent business context, which leads to greater accuracy and reduced manual effort. Additionally, it eases the transition to production by allowing users to prepare data directly at its origin, ensuring that transformations can be executed in production with Lakeflow Jobs without needing to replicate or adapt logic across various tools. This integrated methodology not only simplifies workflows but also significantly boosts overall productivity for data teams, ultimately fostering a more efficient data management environment.

What is Data Preparer?

Our cutting-edge Data Preparer software revolutionizes the time-consuming task of manual data preparation, converting what typically takes a week’s worth of effort into just a matter of minutes by utilizing smart data management techniques. This novel method empowers users to articulate their specific needs, allowing the software to autonomously identify the most effective means to meet those requirements. With Data Preparer, there is no longer a need for tedious coding, as it adeptly handles all data preparation chores without requiring complex programming skills. Users need only to define their criteria by providing data sources, outlining a desired format, setting quality standards, and sharing sample data. The defined target structure and quality considerations offer vital clarity, ensuring that the requirements are accurately understood, while the sample data assists Data Preparer in the efficient cleanup and integration of datasets. After establishing the parameters, Data Preparer takes the reins, scrutinizing the relationships among different data sources and the specified target, thereby seamlessly populating the target with the relevant data. Additionally, it evaluates various techniques for merging the sources and modifies the data format as necessary, which streamlines the entire experience for users. This not only simplifies the process of data preparation but also significantly elevates the quality of the resulting analysis, ultimately allowing for quicker decision-making and improved business outcomes. Furthermore, with its user-friendly interface, Data Preparer is designed to cater to users of all skill levels, making data management accessible to a broader audience.

Media

Media

Integrations Supported

Databricks

Integrations Supported

Databricks

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$2500 per user per year
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

Databricks

Date Founded

2013

Company Location

United States

Company Website

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

Company Facts

Organization Name

The Data Value Factory

Date Founded

2018

Company Location

United Kingdom

Company Website

thedatavaluefactory.com

Categories and Features

Data Preparation

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

Categories and 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

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