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?
Reference Data Version Control and Distribution
In the era of digital business transformation, effective handling of critical reference data is a cornerstone of operational accuracy. Reference data—those master data sets such as codes, standards, or domain-specific lookup tables that change infrequently yet...
Code Tables vs. Domain Tables: Implementation Strategies
Data is the fuel powering innovative business strategies, analytics, and digital transformation initiatives in today's hyper-connected world. Getting data right is more than just accurate analytics or impressive visualizations; it's about structuring data in systems...
Metadata-Driven Access Control Implementation
In today's digital landscape, businesses grapple with increasing complexities in data privacy, security regulations, and the growing imperative for granular access management. Luckily, there's an intelligent solution at the intersection of data analytics and security...
Attribute Registry Design for Enterprise Data Elements
Organizations today swim through oceans of data, attempting to translate vast amounts of information into actionable insight. But every meaningful data-driven decision begins with effective data governance, starting specifically with how we manage and catalog our...
Application Data Management vs. Enterprise Data Management
In today's data-driven world, companies face increasing pressure to manage and leverage their data effectively. However, not all data management systems are created equal. If you're a decision-maker navigating the nuanced differences between application-specific and...
Multi-Language Support in Data Definition Repository
In a world that's becoming a digital neighborhood, language is no longer a mere barrier but rather a strategic enabler. Organizations operate globally, collaborate internationally, and broker critical decisions across multiple cultural contexts. For businesses aiming...
Single Source of Truth Implementation for Critical Entities
Imagine steering a ship without a reliable compass or map—chaos quickly ensues, and decisions become guesses. A similar scenario unfolds daily across countless organizations striving to make effective, data-driven decisions but lacking a clearly defined single source...
Data Sharing Agreement Technical Controls Implementation
In today's interconnected digital landscape, organizations frequently collaborate through data sharing agreements to drive innovation, analytics, and data-driven insights. While collaboration can power tremendous growth and competitive advantage, it also inherently...
Data Element Standardization Across Multiple Domains
In an increasingly interconnected digital world, the quality and consistency of data elements profoundly impact organizational success across industries. Every decision, every stakeholder interaction, every strategy—these pivotal business components rely heavily on...