Big Data Processing withSpark and AWS EMR @glomex17.10.2016MichaelLudwig

Our Architecture

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Our Use Cases

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Billing Pre-Aggregations

Interactive Big Data

Spark components

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Spark 1.6, PySpark, spark-submit, DataFrames, SparkSQL, UDFs, Accumulators

Example: SparkSQL

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EMR Cluster Startup

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AWS Web Console AWS CLI

AWS SDKs(Python, Java, JS

etc.)

Startup parameters

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Spot prices

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Cluster Interaction

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YARN Manager

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Monitoring: Spark UI

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Monitoring: Ganglia on EMR

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Error Troubleshooting

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Summary§ EMR§ Easyclusterstartupandconfiguration§ Throw-Away,isolatedclusters§ Nobigupfrontinvestmentsneeded

§ Spark§ BestframeworktogetstartedwithBigdata§ Bigcommunity&fastdevelopment§ Localdevelopmenteasy

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Backup§ TODO

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EMR Access Urls

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RDD, DataFrame and DataSet

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Spark Cluster

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In-Memory Computation

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Operations§ placeholder

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Sample Transformations

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RDD Lineage

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RDD DAG

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