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?
Regulatory Reporting Metadata Management Framework
In today's rapidly evolving regulatory environment, financial institutions and enterprises face an immense challenge—managing the intricate layers of reporting requirements while maintaining accuracy, efficiency, and compliance. At the heart of easing these...
Temporal Data Governance for Historical Analysis
In today's competitive landscape, businesses aiming to harness the true power of analytical insights must embrace temporal data governance. Structured management and governance of temporal data—historical records observed over intervals of time—have emerged as...
Contextual Quality Rules Based on Data Usage Patterns
In today's business landscape, data holds supreme value, forming the backbone of critical decision-making processes. Yet, merely collecting vast amounts of data doesn't automatically translate into actionable insights or improved operational efficiency. Companies...
Tiered Data Classification System Implementation
In today's data-driven landscape, effective data management isn't just about securing data—it's about strategically classifying and managing data resources to maximize their potential. Implementing a tiered data classification approach offers businesses the clarity,...
Data Governance Metrics Collection and Visualization
Every decision-maker understands the critical importance of data-driven strategies, yet establishing a robust data governance framework remains a challenge for many organizations. Data governance metrics are essential tools that offer companies precise insights into...
Responsible AI Governance Framework Implementation
As artificial intelligence expands its reach across critical industries, organizations have abdicated the luxury of ambiguity in AI governance. We stand at the intersection of unprecedented technological breakthroughs and rising ethical, social, and privacy concerns....
Implementing Data Asset Deprecation Workflows
The art and science of data management calls for continuous evolution. Over time, as organizations expand their data landscapes along multiple dimensions, aging data assets inevitably lose relevance and impose hidden liabilities in performance, compliance,...
Hidden Technical Metadata Management and Exposure
In the fast-paced landscape of modern data-driven business, clarity surrounding your operational data isn't just helpful—it's essential. Hidden technical metadata, often overlooked yet deeply influential to data governance and insights accuracy, forms the backbone of...
Data Citizenship Program Technology Implementation
In today’s data-driven business landscape, ensuring that all team members can effectively navigate, utilize, and benefit from the organization’s data assets is essential for sustained innovation and competitive advantage. Implementing a data citizenship program goes...