aasfadani·1d agoBIG DATA 10: Pemrosesan Data Streaming dengan Spark Structured StreamingPada sesi ini, kita tidak akan menyiapkan alat baru. Jadi tidak ada yang perlu disiapkan. Kita akan berkenalan dengan alat baru yang…
Kirill Fedorov·4d agoUnsticking a Flink Watermark Can Change Your ResultsTreat idle inputs, late events, and downstream corrections as one pipeline design
The Speedcraft Lab·6d agoNetflix Runs 30,000 Flink Jobs, and Open-Source Autoscaling Saved One of Its Teams $1.1M a YearThat team cut Flink compute 58%, and Netflix runs the scaler at 0.45 utilisation, not 0.7
Venugopal Dabbara·Nov 3Beyond Micro-Batching: Exploring Real-Time Mode in DatabricksFrom Kafka transactions to operational decisions: a hands-on experiment using Databricks serverless Spark Declarative Pipelines, and…
Zeynepbkn·Oct 23Data Streaming: Gerçek Zamanlı Veri Akışının Gücü ve Kafka EkosistemiDebezium’dan Kafka’ya, Flink’ten Spark’a: Veri akışının mimarisini, temel kavramlarını ve Python uygulamalarını anlamak.
Realyze·Oct 21We gave an AI assistant Alibaba Cloud’s shopper-alert tutorial.A shopper puts something expensive in the cart. Then they go quiet.
Dilara Begüm Kırkoğlu·Oct 20Open-source vs. Fabric: building a real-time CDC-style lakehouse with open dataWhat it took to rebuild a Kafka / Spark / Druid / Airflow style platform in Microsoft Fabric — every Wikipedia edit, live, plus a bulk load…A response icon2A response icon2
Lakshman Gupta·Oct 18Streaming vs Batch & Exactly-Once SemanticsInvestment Bank Interview, Question 5 — a detailed model answer for Senior Data Engineer / Data Architect roles
Aliakbar Hosseinzadeh·Oct 13Kafka Streams: What It Actually Solves and When It Makes SenseUnderstanding KStream, KTable, stateful processing, exactly-once semantics, and when to choose Kafka Streams over Flink or Spark.A response icon1A response icon1
