One popular trend in the data world recently is the rise of stream analytics. Organizations are increasingly striving to build solutions that can provide immediate access to key business intelligence insights through real-time data exploration. Architecting a data stack to transmit, store, and analyze streams at scale can be a difficult engineering feat without the proper tools. Luckily, existing
NOTE: the code in shown notebook is hidden for better readability. To toggle on/off, click here. Python Kafka Client Benchmarking¶ Kafka is an incredibly powerful service that can help you process huge streams of data. It is written in Scala and has been undergoing lots of changes. Historically, the JVM clients have been better supported then those in the Python ecosystem. However, this doesn't ne
KSQL is the streaming SQL engine for Apache Kafka®. It lets you do sophisticated stream processing on Kafka topics, easily, using a simple and interactive SQL interface. In this short article we’ll see how easy it is to get up and running with a sandbox for exploring it, using everyone’s favorite demo streaming data source: Twitter. We’ll go from ingesting the raw stream of tweets, through to filt
Confluent offers 120+ pre-built connectors to help you quickly and reliably integrate with Apache Kafka®. We offer Open Source / Community Connectors, Commercial Connectors, and Premium Connectors. We also have Confluent-verified partner connectors that are supported by our partners. Confluent supports a subset of open source software (OSS) Apache Kafka connectors, builds and supports a set of con
こんにちは。 皆さん、Apache Kafkaは使っているでしょうか? 最近はHadoop、Sparkの他Storm、Spark Streaming、Flink、Gearpumpのようにストリーム処理系プロダクトとペアで使われることが多く、リアルタイムな処理を行う場合にはかなりつかわれるプロダクトになってきていると思います。 ですが、実際に使ってみると困ることもあるわけでして・・・ で、それを解決できる可能性があるConfulent Platformというプロダクトが出ていました。 ですので、それを追ってみることにします。 参照: http://docs.confluent.io/2.0.0/platform.html Confluent Platformとは? Confluent Platformとは、毎秒大量のデータが到達する事業環境を整理し、管理可能なストリームデータ基盤。 Conf
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く