Tag - Kafka

How Kafka Works?

How Kafka Works?

#realtimedata streaming with #kafka is a popular and powerful approach to handle large volumes of data and facilitate communication between different systems and applications. #apachekafka is an open-source distributed event streaming platform that allows you to publish, subscribe, store, and process streams of records. Here's a general overview of how real-time data streaming with Kafka works: Topic and Message Model: Data is organized into topics, which are essentially log-like data streams. Each message within a topic consists of a key, value, and timestamp. Publishers...

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Orchestrating Multi-Brokers Kafka Cluster through CLI Commands

This short article aims to highlight the list of commands to manage a running multi-broker multi-topic Kafka cluster utilizing built-in scripts. These commands will be helpful/beneficial when the cluster is not integrated or hooked up with any third party administrative tool having GUI facilities to administer or control on the fly. Of course, most of them are not free to use. Can refer here to set up a multi-broker Kafka cluster.By executing the built-in scripts available inside the bin...

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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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Data Absorption (Ingestion)

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Data Ingestion phase for migrating enterprise data into Hadoop Data Lake

The Big Data solutions helps to achieve valuable information to iron out the accurate strategic business decision. Exponential growth of digitalization, social media, telecommunication etc. are fueling enormous data generation everywhere. Prior to process of huge volume of data, we should have efficient data storage mechanism in a distributed manner to hold any form of data starting from structured to unstructured. Hadoop distributed file systems (HDFS) can be leveraged efficiently as data lake by installing on multi node cluster....

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Technical Capabilities

Irisidea’s Competencies

The technical leadership team is the core strength of Irisidea Technologies. Irisidea's business and technical experts not only work closely with clients to provide cost effective, robust solutions to their business needs, but also dedicate a part of their time regularly in research work and keeping themselves on the edge of technology. Each individual of this team is not only an expert in his domain, but he also strives to expand his knowledge horizon by learning new technologies that...

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