Tag - Kafka Architecture Development Kafka Architecture Development

Crafting a Multi-Node Multi-Broker Kafka Cluster- A Weekend Project

For the past couple of years, there has been a huge development in the appropriation of Apache Kafka. Kafka is a scalable pub/sub system and in a nutshell, is designed as a distributed multi-subscription system where data persists to disks. On top of it as a highlight, Kafka delivers messages to both real-time and batch consumers at the same time without performance degradation. Current users of Kafka incorporate Uber, Twitter, Netflix, LinkedIn, Yahoo, Cisco, Goldman Sachs, and so forth....

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Why Kappa Architecture for processing of streaming data. Have competence to superseding Lambda Architecture?

Data is quickly becoming the new currency of the digital economy, but it is useless if it can’t be processed. The processing of data is essential for subsequent decision-making or executable actions either by the human brain or various devices/applications etc. There are two primary ways of processing data namely batch processing and stream processing. Typically batch processing has been adopted for very large data sets and projects where there is a necessity for deeper data analysis, on the...

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Real-time Distributed Data-streaming with Kafka

Real time distributed data streaming Originally written in Scala and Java, Apache Kafka is a fast, horizontally scaling, fault-tolerant messaging platform for distributed data streaming first started at LinkedIn. It provides a publisher-subscriber mechanism for processing and storing data streams in a fault-tolerant way. It is used for building real-time data pipelines by streaming social data, Geo-spatial data or sensor data from various devices. Kafka acts like a plugin for Spark, Hadoop, Storm, HBase, Flink and many others for big data analytics. Using...

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