Kafka vs Flink vs Spark Streaming: What Nobody Tells You Before You Pick One

You’re comparing three things that aren’t the same thing. That’s the first problem. Kafka is a messaging backbone. Flink is a stream…

Medium

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

https://luma.com/rrfvx0ey

(* Depends on attendance)

Apache Spark™ Community Sprint · Luma

Apache Spark™ Community Sprint! Join us on March 17th (Tuesday) from 12:00-7:00 PM at the Snowflake Bellevue Office for a Spark community sprint! We'll spend…

#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

#SoftwareArchitecture #ChangeDataCapture

🚀 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

#AI #bigdata #database #AIagents #InfoQ

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

#DevOps #Kubernetes #AI #BigData #ApacheSpark

#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

#InfoQ #SoftwareArchitecture #AI #DataPipelines

【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! - Qiita

マネージドなApache Spark環境「OCI Data Flow(データ・フロー)」サービスを用いて、クラウドストレージ上のデータを効率よく処理・分析する一連の仕組みを構築してみます。 本記事では、OCI Data Flowを使って、まずSpark環境を「動かして結果を...

Qiita

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

https://www.reddit.com/r/programming/comments/1pyw5a2/apache_spark_isnt_fast_by_default_its_fast_when/

Apache Spark's new Declarative Pipelines framework simplifies ETL development by letting engineers focus on defining transformations while automating orchestration & error handling. This open-source solution handles batch/streaming workloads via Python/SQL interfaces, significantly reducing boilerplate code. Promising productivity gains for teams managing complex Spark pipelines. What impact might declarative approaches have on your workflow? #ApacheSpark #ETL #OpenSource