Uncomplicate Data
ET1, for humans who hate complex
No ET phone home.
Data Inputs
CSV, JSON, and Github CSVs. Extract the data.
Filters
Filter by measure, use regex, wild cards, across your data.
Merge
Inner join, left join, stack with union, and concat columns.
Aggregate
Minimum, maximum, mean, sum, and yes, group by.
Streaming
Flow data downstream. Never click run.
Consulting
Expert help.
Keep it Simple.
About ET1
ET1 is a visual data workbench that lets you explore, clean, and explain data in-memory. Built for non-technical humans, (but developer friendly) who want to wrangle data, without complexity.
Create
Hands-on ETL
Training Documentation
Use the training material to help you understand more about ET1 and how it helps solve data wrangling problems.
ET1 Basic Training
If you need help getting started, begin here.
ET1 Video Training
Learn the basics, the features, and more.
Future Insight
We see the future being focused on adoption, training, and creating Easy Tools for anyone. We are building an emerging technology while also maintaining a creative user experience that is inviting and friendly for all ages.
Inspiration
We are inspired by software, video games, and Sci-Fi movies like The Matrix, Minority Report and Ironman. ET1 is created to be “some-what” similar to other legendary software like Alteryx Desktop, and KNIME Analytics Platform.
Join beta.
Why do you want to access beta?
Pseudonymization Implementation for Analytics on PII
In the digital age, every business leader worth their salt understands that data is an essential asset. However, with great data comes great responsibility—particularly safeguarding personally identifiable information (PII). Balancing powerful analytics capabilities...
Attribute-Based Access Control for Fine-Grained Data Permissions
Data is the lifeblood of modern businesses, fueling insights, innovation, and strategic growth—that much is evident. But as data increases exponentially, so do the complexities surrounding its accessibility, security, and governance. Today, decision-makers aren't...
De-identification Techniques for Protected Health Information
In an era where data fuels innovation, analytics capabilities have expanded exponentially across industries, revolutionizing healthcare significantly. Protected Health Information (PHI) is at the core of this transformation, offering immense potential for enhancing...
Data Sharing Agreements: Technical Implementation Guide
In the modern landscape, data reigns supreme, powering everything from analytical insights and strategic decisions to innovative customer experiences. Effective data sharing agreements (DSAs) act as the traffic lights governing your data highways, ensuring every byte...
Business Glossary Integration with Technical Metadata
In today's increasingly data-driven world, clarity and accuracy are paramount. Data forms the backbone of strategic decisions, guiding business leaders through an ever-changing landscape of technology and innovation. Yet, with mounting volumes of data and growing...
Data Catalog Federation Across Multiple Tools
In today's data-driven landscape, enterprises are often managing multiple data platforms, each harboring crucial insight yet isolated in distinct silos. This complexity demands smarter strategies for data integration, accessibility, and governance, fueling a rapidly...
Regulatory-Driven Data Classification Framework
In an era shaped by expanding digital interactions, regulations on data management continue to evolve in rigor and complexity. As decision-makers within the fast-paced fields of data analytics, software development, or digital innovation, staying ahead in managing...
Statistical Disclosure Control Implementation Techniques
In the data-driven era of rapid digital transformation, protecting sensitive information is as pivotal as harnessing its analytical potential. Whether you're an executive steering strategy in healthcare, a data professional exploring market insights, or an innovator...
Identity Graph Construction for Customer Data Integration
In an ever-evolving landscape, harnessing customer data has become the foundation of meaningful interactions, business intelligence, and strategic decision-making. Yet, despite possessing vast amounts of data, many organizations struggle to achieve a cohesive,...