Tag

#streamprocessing

29 posts6 followers

Explore Hashnode

Alternatives

ZyVOPOct 21 · 9 min read

Kafka Connect and Kafka Streams: Moving and Processing Data

Part 6 of Apache Kafka from Zero to Production. Most Kafka projects need three things beyond the basics: getting data in from existing systems, processing it as it arrives, and sending results out to

blog.zyvop.com

HoracioJul 8, 2025 · 6 min read

Java Stream API : Pourquoi et comment l'utiliser efficacement

Avant Java 8, manipuler des collections relevait souvent du défi. Entre les boucles for, les itérateurs, les conditions imbriquées et les structures temporaires, le code devenait rapidement verbeux, difficile à lire et encore plus difficile à mainten...

horacioskrp.hashnode.dev

Sarah AkinbamiJan 8, 2025 · 3 min read

Introduction to Apache Kafka

Apache Kafka is a distributed event streaming platform capable of handling trillions of events daily. It is widely used for building real-time data pipelines and streaming applications. In this blog, we will explore Kafka’s architecture, core concept...

angeltemmy.hashnode.dev

Akhil KondapaneniJul 24, 2024 · 3 min read

A Beginner's Guide to Real-Time Data Processing with Apache Flink

Introduction Apache Flink is a distributed processing engine and framework designed for stateful computations on both unbounded and bounded data streams. It is built to operate in all typical cluster environments, delivering in-memory speed and scala...

akhil-kondapaneni.hashnode.dev

arnab paulJun 26, 2024 · 2 min read

The Kafka Journey

🚀 My Journey into the World of Kafka! 🚀 I am excited to share my recent deep dive into the world of Apache Kafka! 🎉 Kafka, a powerful distributed event streaming platform, is reshaping the way we handle real-time data. Here's a quick overview of w...

arnab1656.hashnode.dev

Mohamed MahgoubJun 22, 2024 · 2 min read

OOP Vs FP

In the third chapter of the SICP book titled "Modularity, Objects, and State," the book begins by explaining how to structure a system to be modular. It states that there are two ways to achieve this: Object-oriented approach Stream Processing appr...

goba.hashnode.dev

Binyamin YawitzApr 14, 2024 · 11 min read

Vector vs Benthos

In this article, we will contrast two stream-processing platforms: Vector - by Datadog versus Benthos - by Ashely. TL;DRGenerally, Benthos is better suited for event processing, whereas Vector is more geared towards metrics and log aggregation. Howev...

blog.binyamin.dev

Sumit MondalFeb 26, 2024 · 2 min read

A Beginner's Guide to Implementing Managed Apache Flink in AWS

Introduction: Apache Flink, an open-source stream processing framework, has gained popularity for its ability to handle large-scale data processing efficiently. In this blog, we'll explore how to implement Managed Apache Flink in AWS. Managed service...

sumit007.hashnode.dev

tomiwaDec 15, 2023 · 8 min read

How to Get Started with Apache Flink for Effective Stream Processing

Introduction In big data, the ability to process and analyze data in real-time has become imperative for organizations aiming to stay competitive. Stream processing, a paradigm that enables continuous and real-time data processing as it flows through...

tomiwa.hashnode.dev

DataWisokaAug 25, 2023 · 6 min read

Choosing the right message queue: Message retention and ordering in Kafka vs. SQS

In the intricate landscape of distributed systems, the strategies you choose for message retention and ordering can make or break the efficiency of your application. Having already covered the architecture, scalability, and performance aspects of Kaf...

datawisoka.com

Search Hashnode