The bleeding edge: Spark, Parquet and S3
Spark is shaping up as the leading alternative to Map/Reduce for several reasons including the wide adoption by the different Hadoop distributions, combining both batch and streaming on a single platform and a growing library of machine-learning integration (both in terms of included algorithms and the integration with machine learning languages namely R and Python). At AppsFlyer, we’ve been using
Announcement: ELB stickiness updates to support Feb 2020 Chromium CORs changes
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Spark crash while reading json file when linked with aws-java-sdk
emr-bootstrap-actions/spark/examples/spark-submit-via-step.md at master · aws-samples/emr-bootstrap-actions
Amazon Elastic MapReduceやSparkを中心とした社内の分析環境事例とTips
emr-bootstrap-actions/spark at master · aws-samples/emr-bootstrap-actions
emr-bootstrap-actions/spark/examples/reading-lzo-files.md at master · aws-samples/emr-bootstrap-actions
