DeveloperZen

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by Eran Kampf


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Most Recent Posts

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Scaling Your Analytics Schema Using Events Grammar

One of the most important aspects of building your own analytics system is how you store the data and expose it for querying. This post describes the challenges and approach taken when designing the analytics system for dapPulse (now monday.com) and later at Wondermall. Problem Definition Most Analytics software out there lets you define events as an event_name coupled with a bag of data properties.

Apr 27, 2017 - 8 min read
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Best Practices Writing Production-Grade PySpark Jobs

How to Structure Your PySpark Job Repository and Code Using PySpark to process large amounts of data in a distributed fashion is a great way to manage large-scale data-heavy tasks and gain business insights while not sacrificing on developer efficiency. In short, PySpark is awesome. However, while there are a lot of code examples out there, there’s isn’t a lot of information out there (that I could find) on how to build a PySpark codebase— writing modular jobs, building, packaging, handling dependencies, testing, etc.

Jan 13, 2017 - 8 min read
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5 Tips for Choosing Your Startup’s Technology Stack

Having worked as a CTO and technology consultant to many startups I can tell you that choosing the initial technology is an important decision where you have to take into account several factors: 1. Prefer What You Already Know Moving fast when working on a new startup is important. If the founding team is already experienced in a specific stack, its an advantage to choose it and work within their comfort zone rather then re-learn a new technology.

Dec 30, 2016 - 4 min read