Tester or Data Scientist?

Data Scientist has been named as the sexiest job of the 21st century.

“Data scientists make discoveries while swimming in data. It’s their preferred method of navigating the world around them. They are able to bring structure to large quantities of formless data and make analysis possible. They identify rich data sources, join them with other, potentially incomplete data sources, and clean the resulting set.” Quoted from HBR.

Replace the word Data Scientist in the paragraph above with tester and it will still make as much sense.

If your organization stores multiple petabytes of data, if the information most critical to your business resides in forms other than rows and columns of numbers, or if answering your biggest question would involve a “mashup” of several analytical efforts, you’ve got a big data opportunity.

Much of the current enthusiasm for big data focuses on technologies like, Hadoop (the most widely used framework for distributed file system processing) and related open-source tools, cloud computing, and data visualization. While those are important breakthroughs, at least as important are the people with the skill set (and the mind-set) to put them to good use.

The session is for testers who would like to understand the whole landscape and role of data in our IT world today.

How easy or difficult will it then be for a tester to be a data scientist someday? Or is she one already?

Session Takeaways:

  • Summary of the Concepts of Big Data / EDW / ETL / BI
  • Snapshots of Data testing techniques
  • Data Science – what it takes?
  • Concepts for Hadoop / Cloud computing/data visualization

Location: TBD Date: April 11, 2018 Time: 10:15 am - 11:15 am Smita Mishra Smita Mishra