Akhil Kondapaneniakhil-kondapaneni.hashnode.dev·Jul 24, 2024A Beginner's Guide to Real-Time Data Processing with Apache FlinkIntroduction 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...Discussapache-flink
arnab paularnab1656.hashnode.dev·Jun 26, 2024The 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...DiscussApache Kafka
Mohamed Mahgoubgoba.hashnode.dev·Jun 22, 2024OOP Vs FPIn 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...Discussoop
Binyamin Yawitzblog.binyamin.dev·Apr 14, 2024Vector vs BenthosIn 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...Discuss·133 readsvector.dev
Sumit Mondalsumit007.hashnode.dev·Feb 26, 2024A Beginner's Guide to Implementing Managed Apache Flink in AWSIntroduction: 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...DiscussAWS - HandsOn #DataProcessing
tomiwatomiwa.hashnode.dev·Dec 15, 2023How to Get Started with Apache Flink for Effective Stream ProcessingIntroduction 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...Discuss·118 readsApache Kafka
RisingWave Labsrisingwavelabs.hashnode.dev·Oct 18, 2023Unleash the True Power of Supabase Realtime With RisingWaveWhat is Supabase? Supabase enables developers to efficiently build production-ready products. It utilizes Postgres as the underlying OLTP database for handling transactional business logic and offers comprehensive toolkits to accelerate the delivery ...DiscussDatabases
DataWisokadatawisoka.com·Aug 25, 2023Choosing the right message queue: Message retention and ordering in Kafka vs. SQSIn 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...Discusskafka
Thriving.devthrivingdev.hashnode.dev·Jun 2, 2023Introducing 'kafka-streams-cassandra-state-store'The Java library to be introduced - thriving-dev/kafka-streams-cassandra-state-store - is a Kafka Streams State Store implementation that persists data to Apache Cassandra. It's a 'drop-in' replacement for the official Kafka Streams state store solut...Discuss·39 readskafka
Warui Wanjiruwaruithemystery.hashnode.dev·May 5, 2023Orchestration? Maybe! (Project Beat~lytica Part 3)Welcome to the third instalment of the Beatlytica series. I'm sorry to have kept you waiting for the juice this week. It's been a little hectic, but we're moving. In the last instalment, we discussed the implementation of the consumer of messages fro...DiscussProject Beatlyticadata-engineering
