Web analytics data is some of the most valuable data that digital businesses collect. Unfortunately, for many companies this data is locked up inside their web analytics providers application: be that Google Analytics or Omniture SiteCatalyst, limiting the freedom of analysts and data scientists at these businesses to use their data in business-specific ways to answer the questions that matter to them.
In this session, you will learn how to use Snowplow, an open source web analytics platform, and Qubole, a Big Data-as-a-Service provider, to collect potentially enormous volumes of customer-level and event-level web analytics data, directly into your own datawarehouse, and analyze that data directly (including joining with other data sets) using Qubole.
Join us as we will have big data experts from Qubole and Snowplow discuss best practices for tackling the analysis of big data, and answering your questions in a live Q&A session.
Rajat Jain is a software engineer at Qubole, developing backend and middleware systems. Prior to Qubole, Rajat was at Google, working on Google’s File System and various projects to provide transparency of Google’s storage stack. He also had a brief stint at LinkedIn, where he worked on the Core Application’s team. Rajat holds a bachelor’s degree in computer science from IIT Bombay.
Yali Sassoon is co-founder and Analytics Lead at Snowplow Analytics, an open source, web analytics and general purpose event analytics platform. Prior to founding Snowplow, Yali has worked in a range of data-driven roles across different industries, including as head of analytics at OpenX, a strategy consultant at PwC, a marketing and digital product development consultant at Keplar LLP and an operational consultant at Bestshore Business Solutions. Yali has a BA in Natural Sciences and MPhil in the History and Philosophy of Science, both from the University of Cambridge.