#qa #data #devops #engineers

    How to Test BigData/ETL Solutions?

    Working with data has become a separate area of development. Gigabytes, terabytes, and petabytes of information are amazing and baffling when it comes to testing. Hadoop, Spark, and ETL are incomprehensible words that are unclear how to approach.

    Key Takeaways:
    Based on Igor's experience developing wordpress.com, he'll talk about quality assurance in the field of Big Data. During the presentation, you will learn how traditional approaches to testing and test automation correlate with Big Data solutions, as well as what specific problems need to be addressed when it comes to QA.
    • Difficulty Intermediate
    • Speech type Standard 40min
    Igor Khrol
    Team Lead at Automattic
    Lithuania
    Igor is a Software Engineer with strong math background. More than 15 years of industry experience in different scale companies in various roles: Engineer, Team/Tech Lead, Manager, Consultant, and Trainer. His main areas of interest are data engineering, machine learning, and quality assurance. The main languages (tech stacks) are Scala and Python.
    Participation is necessary
    But closed. Sold out already. See you next year.

    Speakers / Agenda

    The program is full of amazing talks about people, code, trends, and people again. All talks undergo a сareful selection process by our program committee. We don't accept marketing talks and don’t sell slots to sponsors. Only meaningful content, only hardcore.

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