AWS at Strata+Hadoop 2016: Building a Scalable Architecture on AWS to Process Streaming Data | Amazon Web Services
AWS Big Data Blog AWS at Strata+Hadoop 2016: Building a Scalable Architecture on AWS to Process Streaming Data Gone are the days when big data was confined to batch processing. To remain competitive, companies must be able to analyze real-time data streams in areas such as video streaming, real-time recommendation engines, preventive maintenance, and fraud detection applications. Last month, Siva
Building a Near Real-Time Discovery Platform with AWS | Amazon Web Services
AWS Big Data Blog Building a Near Real-Time Discovery Platform with AWS September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Assaf Mentzer is a Senior Consultant for AWS Professional Services In the spirit of the
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Stream Processing in SmartNews #jawsdays
- SmartNews uses stream processing to deliver news quickly as the lifetime of news articles is very short. Kinesis Streams play an important role in processing user activity streams and metrics in near real-time. - Data is ingested using Kinesis Producer and Consumer Libraries and processed using Spark Streaming to generate metrics for ranking articles. Metrics are stored in DynamoDB. - An ETL wor
Amazon KinesisはRedshiftに匹敵する破壊力 ─Hapyrus藤川氏に聞くAWSビジネスのトレンド | gihyo.jp
今回のre:Inventに参加して、この勢いは止められないとつくづく感じます。オンプレミスとAWSのすり合わせもかなり進んでおり、スタートアップからはAWSをベースにした新たなクラウドソリューションが次々と出ています。ほかのクラウドベンダとの差は縮まるどころか、拡がる一方でしょうね。 既存のRDBMSからRedshiftにJOIN ──前回お話を伺ったときはRedshiftが出てまもないころでしたが、その後、Hapyrusのビジネスも含め、Redsiftの市場における認知度はどれくらい高まってきた感じですか。 藤川：ものすごく応用範囲が拡がってきていると実感します。現在AWSが公開している事例から紹介すると、英BBCがグローバルで展開するコンテンツの分析をRedshift経由でオンデマンドで行うなど、大規模環境での利用が増えてきています。米国では金融やアドテクの事例が多いですね。とくにト
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Kinesis -> Druid : Options Analysis (to Push? to Pull? to Firehose? to Nay Nay?)
Building a Sustainable Data Platform on AWS
