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Incoop : MapReduce for I ncremental Computation

Incoop : MapReduce for I ncremental Computation

Incoop : MapReduce for I ncremental Computation. Pramod Bhatotia Alexander Wieder , Rodrigo Rodrigues, Umut A. Acar , Rafael Pasquini Max Planck Institute for Software Systems (MPI-SWS ). ACM SOCC 2011. Large-scale data processing. Need to process growing large data-sets

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549 views • 36 slides
Spark Performance

Spark Performance

Spark Performance. Patrick Wendell Databricks. About me. Work on performance benchmarking and testing in Spark C o-author of spark- perf Wrote instrumentation/UI components in Spark. This talk. Geared towards existing users Current as of Spark 0.8.1. Outline. Part 1: Spark deep dive

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667 views • 31 slides
MET 50

MET 50

MET 50. WRITING TO AND READING FROM FILES. Files. To read from a file, we still use the READ statement. To write output to a file, we use the WRITE statement. Files. WRITE ( mm , nn ) (things to write). Tells us the FORMAT of what we write. Tells us where we

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308 views • 20 slides
RISICO on the GRID architecture

RISICO on the GRID architecture

First implementation. RISICO on the GRID architecture. Mirko D'Andrea, Stefano Dal Pra. Outline of the presentation. Porting features; Jobs management; Implementation tests and results; Conclusions and further development. Porting features. Totally implemented in python.

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290 views • 14 slides
Screen Section

Screen Section

Screen Section. Please use speaker notes for additional information!. IDENTIFICATION DIVISION. PROGRAM-ID. SCR1FROM. AUTHOR. GROCER. ENVIRONMENT DIVISION. INPUT-OUTPUT SECTION. FILE-CONTROL. SELECT INPUT-FILE ASSIGN TO "A:SCR1.DAT".

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265 views • 13 slides

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