EasyMorph VS Delta Lake

Your task could be trivially done with EasyMorph (https://easymorph.com). We've designed it exactly for such use cases. Data needs of non-technical people have long been neglected. It was believed that any data wrangling should be done by IT people. So all non-technical people had was Excel. Luckily, the no-code movement finally started addressing that issue with a varying degree of success. - Source: Hacker News / almost 2 years ago

EasyMorph | F# Developer | Full-time, Remote | https://easymorph.com EasyMorph is a powerful data wrangling and ETL application that makes life easier for thousands of knowledge workers around the world. Your job would be to keep developing our high-performance best-in-class columnar data transformation engine that lies at the heart of the application. It's a challenging task that requires an experienced F#... - Source: Hacker News / almost 2 years ago

>PRQL is intended to be a modern, simple, declarative language for transforming data It's not declarative. It's functional. I believe that the approach that is followed by PRQL is more practical than SQL. We've implemented a similar approach in our visual ETL tool for non-technical people (https://easymorph.com) and it works wonderfully. Other cool things you can do with this approach (and can't with SQL): *... - Source: Hacker News / over 2 years ago

I started a company that built, I believe, the most advanced no-code data automation desktop application (https://easymorph.com). It's entirely bootstrapped, profitable and pays salaries to 10+ people (and we keep hiring). Many our customers specifically looked for an on-prem solution as they don't want to deal with SaaS and its privacy issues and use-based pricing. With an on-prem tool like ours they get... - Source: Hacker News / over 2 years ago

May I suggest your non-tech users to try EasyMorph[1] (I'm the founder)? It's easier than PowerQuery (it's completely no-code) and at the same time more powerful. 80% of PowerQuery capabilities require coding. Our tool is 100% visual (and has a free edition). [1] https://easymorph.com. - Source: Hacker News / over 2 years ago

Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it. I think the website is here: https://delta.io. - Source: Hacker News / 4 months ago

Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake. - Source: dev.to / 5 months ago

The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 5 months ago

Databricks provides Jupyter lab like notebooks for analysis and ETL pipelines using spark through pyspark, sparkql or scala. I think R is supported as well but it doesn't interop as well with their newer features as well as python and SQL do. It interfaces with cloud storage backend like S3 and offers some improvements to the parquet format of data querying that allows for updating, ordering and merged through... - Source: Hacker News / 10 months ago

Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond). Source: 11 months ago