Tag - Flink

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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Basic Understanding Of Stateful Data Streaming Supported By Apache Flink

Technologies related to Big Data processing platform are enhancing the maturity in order to efficiently execute the streaming data which is becoming a major focus point to take business decision instantly specially in telecom and retail sector. Collecting data continuously from the various sensors installed/fitted with an industrial heavy equipment, click stream on an e-commerce application’s navigation etc can be considered as streaming data generation sources. By leveraging streaming application, we can process/analyze these continues flow of data without...

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Apache Flink – A 4G Data Processing Engine

Analyzing streaming data in large-scale systems is becoming a focal point day by day to take accurate business decisions due to mushrooming of digital data generation sources around the globe including social media. Real-Time analytics are becoming more attractive due to possibilities of getting insights from the time-value of data (in other words, when data is in motion). Apache Flink, an open source highly innovative stream processor engine has been grounded which helps to take advantage of stream-based approaches. Besides...

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