Slicing Pie Reviews

Apache Spark Reviews

Slicing Pie mentions (40)

• Ask HN: Easy way to issue equity if you don't have a (Delaware) C-corp

  You could try https://slicingpie.com/, but in practice I found it burdensome. - Source: Hacker News / 8 months ago

• Has anyone actually started a successful tech company as a side hustle?

  Since we were new to one another, we used the Slicing Pie methodology and monitored one another for progress and reasonableness in their reporting of time spent. Once we realized that we were both consistently committed to the project, we did a static split of equity and were on our way. Source: about 1 year ago

• Seeking Advice: Starting a Company and Equity Distribution

  Take a look at slicingpie.com as others have suggested. Source: about 1 year ago

• Startup taking on partner/co-founder with Sales/CEO function - advice on sharing it

  - ABSOLUTELY do vesting with one year cliff as others mentioned. Do NOT commit to 49% of the get-go just in case he has a change of heart in a few months... An alternative option is the Slicing Pie approach: https://slicingpie.com/ . Slicing pie is more complicated however it is fairer and will allow you to add more people. Source: about 1 year ago

• How does royalties/revenue share work exactly?

  The slicing pie model might work (https://slicingpie.com/) for you depending on how far you are along. I am using this for a rev share project and we all feel it covered things pretty well. Source: about 1 year ago

Apache Spark mentions (58)

• How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop

  In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 11 days ago

• Shades of Open Source - Understanding The Many Meanings of "Open"

  In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 13 days ago

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago