</We are hiring!>

How we use Jupyter + Airpal to improve our Data Analytics processes

Being a data driven company, reporting needs are constantly increasing in Jampp. From basic summarizations to complex analysis, every team needs to query our databases. Given this backdrop, a priority for our tech team is to readily provide these reports to non-technical areas. Client-sided and other frequently used reports can be found on our Dashboard . Initially, this was enough to cover Jampp’s evolving reporting needs but, for some time now, we found ourselves getting more and more report and visualizations requests.

PrestoDB on Amazon EMR at Jampp

At Jampp we are big users of Amazon EMR. Since we handle a lot of data, our volumes keep growing and we have a lot of unstructured log data. Amazon EMR was a great fit for a lot of the use cases we had for analytics and log forensics.

An in depth look into caching (Part 1)

Nobody calls it that way anymore. But the term is oddly descriptive. Nowadays, it’s all about interconnected systems. You log into your mobile game with your Google account, or maybe your Facebook account. You search for some page (of which you never ever knew its address - honestly, who types URLs anymore?) and expect the whole process of typing your query, finding your page, and going into that, to be faster than bookmarking it. You find it in half a second, it was a news page, and hit the button to share on Twitter.

Overview of Jampp's platform

Jampp is a mobile app marketing company. Our platform helps mobile app advertisers to acquire and re-engage their users globally. This enables brands to go beyond simple installs and re-targeting clicks, as it optimizes for in-app activity and conversions, thus maximizing lifetime value. Our intention in this initial post is to give a brief overview of the different systems that power our platform. In future posts we will delve deeper into most of the topics covered here and others.
x </We are hiring>
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    import tornado.ioloop
    import tornado.web

    
    class CandidatesHandler(tornado.web.RequestHandler):

        def get(self, name):
            secret = self.get_argument('secret')
            is_geek = False
    
            if ',' in secret:
                word = ''.join([chr(int(x)) for x in secret.split(',')])
                is_geek = word == 'geek'
    
            if is_geek:
                self.write("Hi %s, we are waiting for you. jobs@jampp.com" % name)
            else:
                raise tornado.web.HTTPError(404, "Geek not found")
    
    
    if __name__ == "__main__":
        app = tornado.web.Application([
           (r'/candidates/(.*)', CandidatesHandler)
        ])
        app.listen(8000)
        tornado.ioloop.IOLoop.instance().start()