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?
Impact Analysis Automation for Upstream Schema Changes
The pace of digital transformation brings agility, flexibility, and powerful analytics capabilities into the heart of business strategies. Yet, with insightful analytics comes inevitable upstream schema changes that could disrupt your organization's data operations....
Master Data Survivorship Rules Implementation
In today's hyper-competitive landscape, organizations recognize data as their most valuable asset—yet the true power of data lies in its quality, reliability, and timeliness. Master Data Management (MDM) provides a robust framework for organizations to realize these...
Data Catalog API Design for Programmatic Metadata Access
In today's fast-paced data-driven landscape, organizations strive to become increasingly agile, responsive, and capable of turning raw data into actionable insights. A well-designed Data Catalog API plays a critical role in streamlining metadata management, boosting...
Data Retention Policy Technical Implementation Guide
In today's data-driven landscape, how organizations manage their data lifecycle not only impacts compliance and regulation but also shapes competitiveness and innovation. An effective data retention policy is more than just document management—it's a strategic lever...
Enterprise Canonical Data Model Development Methodology
In a rapidly evolving digital landscape, enterprises contend with vast volumes of data flowing across hundreds of disparate applications, databases, and cloud platforms. As data pile-ups grow exponentially, organizations find themselves encumbered by redundant data...
API-Based Data Governance for Decentralized Organizations
In today's rapidly evolving landscape where operations span across various platforms and geographic locations, decentralized organizations encounter unique challenges in governing their vital asset: data. API-based data governance emerges as a robust solution,...
Knowledge Graph Implementation for Enhanced Metadata Discovery
Today's vast digital universe demands intelligent solutions capable of connecting and contextualizing information intuitively. Organizations grappling with mountains of data often find traditional methods of metadata discovery falling short in delivering comprehensive...
Data Asset Certification Process and Technical Implementation
In today's competitive business landscape, anyone can accumulate data, but not everyone transforms that data into a trusted asset capable of guiding their strategic decisions. Business leaders and data professionals must understand that data assets hold incredible...
Privacy-Preserving Record Linkage Techniques
In today's data-driven world, organizations are increasingly leveraging data analytics to drive critical decisions, streamline operations, and maintain competitive advantages. The ability to accurately link records across datasets is foundational for a robust...