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Anand Nalya

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Articole: 10

  1. Stage-Level Job Pipelining in Apache Spark: A Deep Dive

    (Anand Nalya)

    How we improved TracksETL throughput by understanding Spark’s execution model Introduction Back in 2018, we migrated TracksETL (one of the largest ETL job) from Hive to Spark to handle our exploding event volumes.

  2. Async is better than sync

    (Anand Nalya)

    Joining any new company is always a learning opportunity.

  3. Debugging a Spark issue

    (Anand Nalya)

    While working on GraphFrames in pyspark, we encountered a ExecutorLostFailure exception.

  4. Seek patterns of Elasticsearch

    (Anand Nalya)

    One must know the disk seek patterns of an application when optimizing the storage layer for any application.

  5. Clustering of synthetic control data in R

    (Anand Nalya)

    This is an R implementation for clustering example provided with Mahuot.

  6. Building a Single Page Webapp with jQuery

    (Anand Nalya)

    In a typical single page web app, you load a html page and keep updating it by requesting data from the server either periodically or whenever the user asks for.

  7. Idea for Windows Phone Team – Make switching easier and less costlier

    (Anand Nalya)

    Microsoft is already paying developers for porting their applications from iOS and Android.

  8. Role based views using css and javascript

    (Anand Nalya)

    In web applications, role based views are normally done using server side if..else tags etc.

  9. RIP Steve Jobs

    (Anand Nalya)

    RIP Steve Jobs

  10. Hadoop Tuning Notes

    (Anand Nalya)

    This is a quick dump of my notes for hadoop tuning.