Hadoop is-dead

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HADOOP: NOT DEAD YET Clint Green (+clintgreen)

description

The report of Hadoop's death has been greatly exaggerated.

Transcript of Hadoop is-dead

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HADOOP: NOT DEAD YETClint Green (+clintgreen)

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Volume Velocity Variety

“Big Data” is when the size of the data itself becomes part of the

problem.

- Big Data Now, O’Reilly

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PERCEPTION IS REALITY

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Hadoop is Flawed

“You can’t install it without an expert.”

“Fine for R&D, but not for real production.”

“Hadoop is just for batch processing.”

“The dirty-little-secret with Hadoop is…”

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Hadoop isn’t for RealWork™

1.Adopt Hadoop for pilot projects.2.Scale Hadoop to production use.3.Observe an unacceptable

performance penalty.4.Morph to a real parallel DBMS.

-Michael Stonebraker, CACM, May 2012(Vertica, VoltDB, SciDB)

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Availability

Partition ToleranceConsistency

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Availability

Partition ToleranceConsistency

Atomicity

Consistency

Isolation

Durability

ACI

D

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“4. Morph to a real parallel DBMS.”

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REALITY IS RELATIVE

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Evolve

“Hadoop has become the kernel of the distributed operating system for Big Data…

No one uses the kernel alone.”-Doug Cutting, Strata 2012

(Cloudera, ASF)

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Hadoop + MapReduce

“There is nothing really embarrassing about embarrassingly parallel applications."

-Luiz André Barroso, ACM 2011(Distinguished Engineer Google)

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Not Just for Batch Anymore…

APACHEHAMA D

RILL

APACHE

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Apache Hadoop YARNThe per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.

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No Secret Here

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Help is on the Way

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ACTUAL PROBLEMS

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VS

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VS

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THANK YOUClint Green (+clintgreen)