Sooner or later every company that strives to be data-driven stumbles across a problem of having more data than can be analyzed without a specialized position devoted to this task. Here is how we tackled this challenge at Base.
Tagged in ‘data’
People kept asking us: “why are you guys building yet another CRM?” It’s a valid question as there are many solutions available in this space. The great majority of them however, suffer from very low user adoption, which makes companies using them know very little of what’s really happening with their businesses and significantly limits their growth.
DataFrames are a great abstraction for working with structured and semi-structured data. Recently they were introduced in Spark and made large scale data science much easier. How do those new, shiny, distributed Spark DataFrames compare to Pandas, established single-machine tool for data analysis? Let’s find out!