Low-Latency Access on Trillions of Records: FINRA’s Architecture Using Apache HBase on Amazon EMR with Amazon S3 | Amazon Web Services
AWS Big Data Blog Low-Latency Access on Trillions of Records: FINRA’s Architecture Using Apache HBase on Amazon EMR with Amazon S3 John Hitchingham is Director of Performance Engineering at FINRA The Financial Industry Regulatory Authority (FINRA) is a private sector regulator responsible for analyzing 99% of the equities and 65% of the option activity in the US. In order to look for fraud, market
New Whitepaper: Amazon Elastic MapReduce (EMR) Best Practices | Amazon Web Services
AWS News Blog New Whitepaper: Amazon Elastic MapReduce (EMR) Best Practices Amazon Elastic MapReduce (EMR) accelerates big data analytics. It provides instant scalability and elasticity, letting you focus on analytics instead of infrastructure for your data-intensive projects. Whether you are indexing large data sets or analyzing massive amounts of scientific data or processing clickstream logs, E
EMRってなんじゃ？（Bootstrap Actionで実行時メモリ使用量を設定する）
EMRを実行するときにメモリが足りなくてエラーになる場合があります。 EMRではクラスタのJavaのメモリ指定ができるのでやってみます。 EMRはジョブフローを起動するときに、Bootstrapアクションを指定出来ます。 AWSコンソールでジョブフローを起動する場合は、ジョブフロー作成のダイアログ中にBootstrapアクションを設定できます。 「BOOTSTRAP ACTIONS」のフェーズで「Configure your Bootstrap Actions」を選択すると以下のような画面が出てきます。 Action Typeにはいくつかあり、監視ツールの「Install Ganglia」や「Memory Intensive Configuration」などのプリセットとカスタムアクションがあります。 「Amazon S3 Location」欄にS3上のアドレスを記載すると、そこに置かれた
Amazon EMR 2.x and 3.x AMI versions - Amazon EMR
AWS is updating the TLS configuration for all AWS API endpoints to a minimum version of TLS 1.2. Amazon EMR releases 3.10 and lower only support TLS 1.0/1.1 connections. After December 4, 2023, you won't be able to create clusters with Amazon EMR 3.10 and lower. If you use Amazon EMR 3.10 or lower, we recommend that you immediately test and migrate your workloads to the latest Amazon EMR release.
Programmatic Deployment to Elastic Mapreduce with Boto and Bootstrap Action | atbrox
Programmatic Deployment to Elastic Mapreduce with Boto and Bootstrap Action A while back I wrote about How to combine Elastic Mapreduce/Hadoop with other Amazon Web Services. This posting is a small update to that, showing how to deploy extra packages with Boto for Python. Note that Boto can deploy mappers and reducers in written any language supported by Elastic Mapreduce. In the example below (i
ソリューションセッション#3 ビッグデータの3つのVと4つのプロセスを支えるAWS活用法
ソリューションセッション#3 ビッグデータの3つのVと4つのプロセスを支えるAWS活用法 登壇者名・社名 大谷 晋平（アマゾン データ サービス ジャパン 株式会社）Read less
Numpy and Scipy with Amazon Elastic MapReduce
Using the mrjob to run python code on Amazon's Elastic MapReduce I have successfully found a way to upgrade the EMR image's numpy and scipy. Running from console the following commands work: tar -cvf py_bundle.tar mymain.py Utils.py numpy-1.6.1.tar.gz scipy-0.9.0.tar.gz gzip py_bundle.tar python my_mapper.py -r emr --python-archive py_bundle.tar.gz --bootstrap-python-package numpy-1.6.1.tar.gz --b
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Announcement: ELB stickiness updates to support Feb 2020 Chromium CORs changes
Is there a way to tell if python was configured and compiled with "--with-threads --enable-shared"?
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Instance purchasing options - Amazon EMR