MapReduce

4 statements across 4 episodes · 1 bullish · 1 bearish · 4 people on the record · first statement Dec 18, 2014 by Mike Olson · said 62 times in 30 episodes since 2013 · across every show →

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brought up most by Matt Turck (9), Mike Olson (8), Tasso Argyros (7), Stefan Groschupf (4), John Rauser (4), Neha Narkhede (3), Chris Wiggins (3), Paul Dix (2)

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2013 4 mentions in 4 episodes 1 per episode

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Everything said about MapReduce, oldest first

Dec 18, 2014 bearish
Prediction Not checkable as stated
Mike Olson predicts MapReduce compute cycles in Hadoop clusters will approach zero
“I think the percentage of cycles spent on MapReduce in Hadoop clusters generally is going to asymptotically approach zero. That's not because there will be less MapReduce happening, but because there will be so much of the other stuff happening.”
Mike Olson Dec 18, 2014 ▶ 10:45 Mike Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
Jun 16, 2016
Insight
Narkhede: Stream processing behaves like microservices, not faster MapReduce jobs
“What we learned is that, ah, stream processing is in fact much more than a faster MapReduce layer. It, in fact, most of the applications that do stream processing look much more like a microservice of an application, and less like a faster version of a batch o…”
Neha Narkhede Jun 16, 2016 ▶ 24:16 A Kafka-Powered Real-Time Streaming Platform // Neha Narkhede, Confluent [FirstMark's Data Driven]
Dec 19, 2017 neutral
Disclosure
Goldman's compliance analytics rely on Hadoop and MapReduce batch processing
“So other than search, everything I described is batch processing. We use standard Hadoop. We use MapReduce.”
Mayur Thakur Dec 19, 2017 ▶ 16:48 Surveillance Platform for Banks // Mayur Thakur, Goldman Sachs (FirstMark's Data Driven)
Oct 24, 2024 positive
Assertion Supported
Modern laptops are 10 to 100 times faster than MapReduce-era servers
“But you know, nowadays, like, you know, I've got a Mac M two laptop. It's two years old. It's like probably an order of magnitude to two orders of magnitude faster than the server machines were back when, you know, MapReduce came out and people started buildin…”
Jordan Tigani Oct 24, 2024 ▶ 4:02 The Death of Big Data and Why It’s Time To Think Small | Jordan Tigani, CEO, MotherDuck
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