Organizations are demanding increasingly faster tools to process and analyze data in real time. Apache Spark and Apache Flink have emerged as popular, open source frameworks to address these requirements. In this tech talk, we provide an overview of these technologies and the differences between them. We show how you can deploy Apache Spark and Flink on AWS to address common big data use cases suc
SQL is undoubtedly the most widely used language for data analytics for many good reasons. It is declarative, many database systems and query processors feature advanced query optimizers and highly efficient execution engines, and last but not least it is the standard that everybody knows and uses. With stream processing technology becoming mainstream a question arises: “Why isn’t SQL widely suppo
Apache Flink's DataStream API is very expressive and gives users precise control over time and state. However, many applications do not require this level of expressiveness and can be implemented more concisely and easily with a domain-specific API. SQL is undoubtedly the most widely used language for data processing but usually applied in the domain of batch processing. Apache Flink features two
Distributed computing (Apache Hadoop, Spark, ...) Advent Calendar 2016 15日目の記事です. Apache FlinkのStreaming APIにおけるWindow周りの機能を紹介してみます. https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/streaming/windows.html に書いてあるような内容です. ベースにしているFlinkのバージョンは1.1です. 例などはScalaで書きますが、Javaでも大体同じような感じです. はじめに ストリーム処理では、データは終わること無く永遠に流れてきます. 従って、そこに対して計算を行うためには、何かしらの手段で計算対象のデータを区切ることが必要になってきます. この、永続的に流れるデ
By @kostas_tzoumas and @wints Needless to say, we here at data Artisans spend a lot of time thinking about stream processing. Even cooler: we spend a lot of time helping others think about stream processing and how to apply streaming to data problems in their organizations. A good first step in this process is understanding misconceptions about the modern stream processing space (and as a rapidly-
Functional Comparison and Performance Evaluation of Streaming Frameworks
Flink How To: A Demo of Apache Flink with Docker September 29, 2016. Written by Gezim Sejdiu. Posted in Blog, Big Data, BDE-Technology This guide explains the steps of how to run a Flink application on the BDE platform. Apache Flink is an open-source platform for distributed stream and batch processing. In this post, we are going to see how to launch a Flink demo app in minutes, thanks to the Apac
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