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?
Orphaned Data Detection and Management Framework
In today's rapidly evolving digital landscape, immense volumes of data constantly flow through enterprise systems—from cloud storage platforms and analytics pipelines to legacy databases. However, an overlooked but critical issue that emerges amidst this influx of...
Confidentiality Classification Inheritance Rules
The digital age has ushered organizations into unprecedented growth fueled by data-driven decisions. Yet, as data volumes escalate, enterprises face increasingly complex challenges managing sensitive information. Understanding and applying robust confidentiality...
Purpose-Limitation Enforcement in Data Usage
In today's data-driven economy, organizations continuously strive to leverage data for innovation and decision-making. Yet, this potential often collides with concerns around privacy, compliance, and responsible data use. Purpose-limitation—the core principle that...
Business Term to Technical Implementation Mapping Repository
In today's fast-paced digital economy, aligning strategic business concepts with the right technological execution is critical. Too often, businesses witness a gap between visionary terms and their corresponding technological implementation, causing delays,...
Self-Service Data Access Request Workflow Implementation
As organizations grow more data-centric, the pressure on IT and analytics teams to rapidly provision data access can become overwhelming. Decision-makers increasingly require instant insights, and a backlog or delay in granting data access requests can dramatically...
Enterprise Data Model Versioning and Deployment
Organizations today face unprecedented challenges and opportunities in handling large-scale, evolving data models. Every data-driven business understands that reliable, timely data fuels better decisions, which directly impact growth and innovation. Yet, managing...
Metadata Exchange Standards Implementation (DCAT, etc.)
In the rapidly evolving digital economy, clear, consistent, and effective data exchange is no longer optional—it's critical. Data-driven organizations across sectors require efficient communication about their datasets to streamline operations, improve collaboration,...
Regulatory Reporting Field Mapping and Lineage
In today's highly regulated business environments, precision in managing data is no longer optional; it’s a cornerstone of successful compliance and sound decision-making. Organizations face immense pressure to ensure their data is accurate, secure, and transparent...
Data Sharing Sandbox Environment Architecture
In today's data-driven business ecosystem, innovative companies recognize that securely sharing data for analytics and collaboration is no longer mere aspiration—it’s an operational necessity. Creating a well-architected data sharing sandbox environment positions your...