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?
Zombie Data: Identifying and Purging Obsolete Information
In our increasingly data-driven economy, information is a strategic asset that fuels innovation, propels business intelligence, and empowers strategic decision-making. Yet lurking within every organization's database is a dormant peril: "zombie data." These are...
The Art of Data Fingerprinting: Detecting Duplicate Records at Scale
In a bustling digital economy, data fuels business innovation, decision-making, and competitive advantage. Yet amidst the vast streams of data collected daily, duplicate records silently inflate quality risks, distort analytics, and escalate operational...
Memory-Mapped Files vs Traditional I/O: Performance Benchmarks for Large Datasets
In the age of big data, efficiently handling large datasets has become essential for organizations looking to maximize their technology investments. The methods employed for data access and storage significantly shape the performance of modern analytical workloads....
Taming the Wild West of Nested JSON: Advanced Flattening Techniques
In today's data-intensive world, dealing with nested JSON structures is like navigating the Wild West of data management: vast opportunities, but equally significant challenges. Decision-makers and data strategists know the headache of unraveling deeply nested JSON...
When Batch Processing Beats Real-Time: A Counter-Intuitive Analysis
In today’s hyper-connected digital landscape, the allure of instant, "real-time" data analytics frequently dominates strategic decision-making discussions. Real-time processing promises immediate insight, lightning-fast responses, and the competitive edge that today's...
The Hidden Cost of Data Skew in Distributed Processing Systems
In today's data-driven world, distributed processing systems have become indispensable tools, enabling organizations to efficiently scale operations, process vast datasets, and gain timely insights. However, lurking beneath the surface of distributed computations lies...
Building Idempotent Data Processors: Why Your Pipeline Shouldn’t Fear Reruns
Picture this: it's 2 AM and you receive an alert that your critical data pipeline has failed mid-run. You dive out of bed, heart racing, wondering how many processes you'll need to manually fix before the next business day begins. But what if I told you there's a way...
Multi-Level Data Lineage: Business to Technical Traceability
Imagine a scenario where a vital business report raises eyebrows during an executive meeting. Decision-makers question the validity of data points, and the technical team quickly dives into a frantic root-cause analysis. Without multi-level data lineage, identifying...
Deprecation Policy Implementation for Legacy Data Assets
Imagine steering an old, reliable ship – sturdy, but burdened by countless layers of patched repairs and outdated technologies. Though it still sails, every wave and gust of wind threatens stability. Similarly, legacy data assets often form a hidden backbone of your...