Live Streaming Architecture On AWS
Apache Kafka Articles AWS Cloud Providers DataOps/Analytics Event Streaming Kafka Architecture Real time data Real time data streaming

Live Streaming Architecture On AWS / Amazon Solutions

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The rise of real-time data analytics has enabled business systems to read and react to events most compellingly and accurately. It has proved to be a boon for companies to implement needs that require quick attention, such as preventive maintenance, cross-selling, recognizing potential cyber threats, customer behavior, media sharing, etc.

Real time processing in Big Data
Articles Event Streaming Kafka Streams Kafka Use Cases Real time data Real Time Streaming

How is Real time Processing different from Batch Processing?

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In the incoming article, we would be shedding some light over real time vs batch processing systems. This is an important concept to understand as they define the SLAs for a modern system. In layman's terms, these define ”Acceptance Criteria” for a system. Most of the modern systems are built

Real-time Streaming And Analytics Use Cases
Apache Kafka Articles Event Streaming Kafka as a Service Kafka Use Cases Real time data Real time data streaming Real Time Streaming

Real-time Streaming Use Cases. How Does It Help Business?

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Real-time streaming tools and techniques hold high potential in the decision-making and operations of an organization. Modern businesses are dependent on thousands of applications that generate, collect, process, and analyze data continuously. In this article we will talk about some use cases of real time streaming & analytics and its

Event stream processing in Kafka
Articles Event Streaming Kafka Kafka as a Service Kafka Streams Kafka Use Cases Real Time Streaming

Introduction to Event Streaming Services & how is it used with Apache Kafka.

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What is Event Streaming Services? Data is at the heart of the new-age business built upon several hundred data-driven applications that account for a system that is continuously generating data. Organizations also use data to garner actionable insights and create an effective data-driven decision-making system.  It is one of the