Kafka vs Flink vs Spark Streaming: What Nobody Tells You Before You Pick One
Kafka vs Flink vs Spark Streaming: What Nobody Tells You Before You Pick One
Bellevue / Seattle area friends: I’m super stoked for next week’s Spark Community Spring (Friday Mar 13th: spooky 👻).
If you’ve ever wanted to contribute to Apache Spark, come hang out and get your first Spark PR started with Felix Cheung, Huaxin Gao, Devin Petersohn, and myself :)
We’ll help folks find starter issues, get their dev environments set up, and walk through the contribution process.
There will be free lunch, and if enough people show up… maybe even Taco Bell for an afternoon snack*.
#ApacheSpark #OSS #hackathon #freelunch #tacofridaymaaaaybe
(* Depends on attendance)
#Pinterest launched a next-gen CDC-based ingestion framework.
Using #ApacheKafka, #ApacheFlink, #ApacheSpark & #ApacheIceberg, they achieved:
• Latency cut from 24+ hours to 15 minutes
• Processing of only changed records
• Support for incremental updates & deletions
• Petabyte-scale data across 1,000+ pipelines
Win: optimized cost & efficiency!
Read the architectural deep dive on InfoQ 👉 https://bit.ly/4rMJB2H
🚀 Big Data meets AI—powered by Iceberg, Spark & LLMs
At #ArcOfAI, Pratik Patel shows how to build a real architecture that lets users query massive datasets with natural language—no dashboards, no SQL, just questions & insights.
https://www.arcofai.com/speaker/1c241471d7f04018a0da70efffd35b32
🎟️ Get tickets: https://arcofai.com
#ArtificialIntelligence #BigData #DataArchitecture #ApacheSpark #ApacheIceberg #LLM #GenAI #EventStreaming #Kafka #Flink #AIEngineering #TechLeadership
In this #InfoQ article, Hina Gandhi explores a #ReinforcementLearning (RL) approach built on #ApacheSpark, enabling distributed computing systems to autonomously learn optimal configurations.
📰 Read now: https://bit.ly/4r0VdyP
Pinterest just shared a deep dive into Moka - its new blueprint for the future of large-scale data processing.
The company is migrating core workloads from ageing Hadoop infrastructure to a Kubernetes-based platform on Amazon EKS, with Apache Spark as the primary engine - and support for additional frameworks coming soon.
Curious to learn more? Read on #InfoQ 👉 https://bit.ly/4qCs4JP
#CaseStudy - Agoda consolidated multiple independent data pipelines into a central #ApacheSpark platform, eliminating financial data inconsistencies.
A multi-layered quality framework - with automated checks, ML anomaly detection, and data contracts - ensures accurate financial metrics while handling millions of daily bookings.
Deep dive into the architecture here ⇨ https://bit.ly/4a109NP
【ハンズオン】OCI Data Flowで始めるApache Spark|ETLからMLまで体験してみよう!
https://qiita.com/yushibats/items/559b65f72efeccf8865b?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
Apache Spark không tự động nhanh. Tốc độ của nó phụ thuộc vào cách dùng: tránh phân vùng sai, shuffle không cần thiết và lạm dụng cache. Hiểu rõ mô hình thực thi của Spark là chìa khóa để tối ưu hiệu suất.
#ApacheSpark #BigData #DataEngineering #Performance #Optimization #DuLieuLon #CongNgheDuLieu #HieuSuat #ToiUu