Jesse Anderson

jesse-anderson.com · Personal blog · on HN since 2011

Jesse Anderson, a big data consultant and teacher, writes about Kafka, Apache Beam, Hadoop and data engineering.

What HN saysHN commenters describe him as a respected, self-taught big data expert and former Cloudera employee who teaches data engineering.
16HN people shared it
2linked it in comments
46stories submitted
128story points
5 years agolast shared
2011people per year2026

Most-shared posts

  1. 1
    Question and Answers with the Apache Beam Team
    2 people · 6 points · first shared 2016 · discussion on HN
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  3. 3
    I Come Not to Bury Cloudera but to Praise It
    2 people · 3 points · first shared 2019 · 1 comments on HN
  4. 4
    Creating Work Queues with Apache Kafka and Apache Pulsar
    2 people · 2 points · first shared 2018 · discussion on HN
  5. 5
    A Few Million Monkeys Randomly Recreate Shakespeare
    1 people · 24 points · first shared 2011 · 5 comments on HN
  6. 6
    I Recommend My Clients Not Use KSQL and Kafka Streams
    1 people · 17 points · first shared 2019 · 2 comments on HN
  7. 7
    Getting Stuck Crawling with Big Data
    1 people · 10 points · first shared 2016 · discussion on HN
  8. 8
  9. 9
    Hadoop MapReduce Dedupe Algorithm
    1 people · 3 points · first shared 2017 · discussion on HN
  10. 10
    Unit Testing Kafka Streams
    1 people · 3 points · first shared 2019 · discussion on HN
  11. 11
    Should you learn MapReduce or Spark?
    1 people · 3 points · first shared 2016 · discussion on HN
  12. 12
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  14. 14
    What Do I Look for in Data Engineers?
    1 people · 2 points · first shared 2017 · discussion on HN
  15. 15

What HN people wrote when they linked it

michaelalexis · 2017-05-05
anecdotal, but Jesse Anderson is a world class big data expert, former Cloudera, etc. and my understanding is he is entirely self taught: http://www.jesse-anderson.com/
eljefe6a · 2017-05-05
I teach data engineering and data science. I've taught at hundreds of companies. Yes, there are self-taught people doing data science in the real world. They're few and far between, but they are out there. If you're coming from a programming background, I'd suggest becoming a Data Engineer with the goal of becoming a Data Scientist. I've had several students do that. They were general programmers who learned Big Data/data engineering and eventually became more technical Data Scientists. You can start to learn more about the whys here: http://www.jesse-anderson.com/2017/03/what-happens-when-you-hire-a-dat…

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