Submit a talk on data

Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2018

From Application Developer to Big Data Engineer

Submitted by Chandulal Kavar (@chandukavar) on Tuesday, 13 March 2018

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Technical level

Beginner

Section

Crisp talk

Status

Submitted

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Total votes:  +1

Abstract

In this talk, I will talk about my journey from working as an App Dev to a Data Engineer at ThoughtWorks. This transition helped me to change my mindset around Big Data as well as problem-solving techniques required for distributed computing problems. I will also cover how one API over other will affect the performance and memory usage. Furthermore, I will show some of these techniques through some examples.

Outline

  1. What people do when they start exploring Big Data?
  2. Why people quit?
  3. Mindset Change
    • Silo Computing vs Distributed Computing
    • Log vs Logging
    • Data quality in Big Data
  4. Problem Solving Techniques for Distributed computing problems
  5. Choosing one API over Other
  6. How to introduce new Big Data tool or framework

Speaker bio

I am a Data Engineer at Thoughtworks, designing and building data-intensive and scalable Data Platforms. I love to solve the problems that run on Big Data processing frameworks. I am a blogger too, you can find my blogs on medium @chandukavar

Slides

https://www.slideshare.net/secret/4SBoUnrZXY45qI

Comments

  • 1
    Zainab Bawa (@zainabbawa) Reviewer 7 months ago

    Chandulal, we need to your preview video to evaluate this talk.

  • 1
    Chandulal Kavar (@chandukavar) Proposer 7 months ago

    Hi Zainab, I won’t be available on conference dates. Sorry, about that.

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