1. World’s 1st free distributed coding editor out of only two Apache Spark coding editors which are available online. It involves procurement of spark clusters orchestrated on AWS with an array of services like EMR , S3 , lambda , elastic beanstalk , route 53 .
2. It solves the problem of keeping up with the fast changing landscape for data and AI world . The ease of simply logging in and running your first pyspark code without no hassles of cluster procurement , credit cards hassles , no API keys configurations is what adds to the ease of carrying out quick POCs . The same ease is extended to other AI / genAI frameworks like numpy , scipy , pandas , tensorflow ( GPU based) , langchain , LLMs , LLMs with AI functions enabled as sql functions . This helps in fast learning and validating our knowledge with easily runnable codes within seconds of a quick login .
3. Also it gives a social coding experience like facebook and Linkedin where we don't’ have to code in isolation like the competitors like GFG . There is ranking and point rating system .
4. Features like comments , chats , likes , posts with multiple images , categorical search , posts search, fast rendering of posts via restful APIs , any device compatibilities have been taken care off .
5. Ensuring that it’s rich with data on topics like data platforms , large scale ingestion ideas , CDC , genAI RAG based systems , recursive visualisations so that data lovers , be it data engineers , VPs , directors , architects , all would like to read , write , code , learn and elevate their careers though this platform .
6. Recruiters can do smart recruitment since the coding scores , written artifacts and posts on technologies would help the recruiters to identify data evangelists who like to read , contribute , post , code and remain active in data learning curve .
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