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13FebFebruary 13, 2024

Why Apache Kafka and Apache Flink work incredibly well together to boost real-time data analytics

When data is analyzed and processed in real-time, it can yield insights and actionable information either instantly or with very little delay from the time the data is collected. The capacity to collect, handle, and retain user-generated data in real-time is crucial for many applications in today’s data-driven environment. There are various ways to emphasize the significance of real-time data analytics like timely decision-making, IoT and sensor data processing, enhanced customer experience, proactive problem resolution, fraud detection and security,...

By Gautam GoswamiApache Kafka, Data Engineering, Processing EngineApache Flink, Apache Kafka, Big Data, real time analytics, real-time data streamingComments Off

30NovNovember 30, 2017

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...

By Kislay KomalData Engineering, Processing EngineApache Flink, Big Data processing platform, checkpoint, concurrent updates, Data Streaming, Flink, HDFS, KeyBy, maintain parallelism, protecting streaming application from failure, savepoint., Stateful Data Streaming, Stateful Data Streaming Supported By Apache Flink, stateful operation, Stateless computation, Statelful computation, streaming application, Understanding Of Stateful Data Streaming Supported By Apache FlinkComments Off

25SepSeptember 25, 2017

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...

By Gautam GoswamiData Engineering, Processing Engine4G Data, 4G Data Processing, 4G Data Processing Engine, Amazon EC2, analyze historical data, Apache, Apache Flink, Big Data, core computational belt, data pipeline, Data Processing Engine, Data stream source, dataArtisans, DataSet API, DataStream API, Delta Iterate, DGI, Directed Acyclic Graph, disk spilling, fault-tolerant, flatMap, Flink, Flink Runtime, Garbage Collector, Google cloud, GroupReduc, Hadoop, hashing and sorting, Iterate, Java Virtual Machine, JVM, JVM memory management system, map, memory management system, micro-batching, multi-node clusters, processor engine, real-time analytics, Savepoints, single JVM, Single node clusters, storage mechanism, stream processor, stream processor engine, Twitter streaming, Yahoo, YARN, Yet Another Resource NegotiatorComments Off

18JanJanuary 18, 2017

Establishment of Data Lake specific to multi-channel e-commerce application to understand customer’s buying pattern

Post order fulfillment data is becoming a very important asset of e-commerce vendors to understand complete buying pattern of customers. Especially for the e-commerce vendors who sells multiple products starting from electronics to apparels. Extraction and transformation are time-consuming operations when partially structured data starts moving from the various sources and finally land into the relational data warehouse. Data extracted from the social media are semi-structured (JSON or XML). As an example, Facebook provides information in JSON format through Graph API and same...

By Gautam GoswamiApache Hadoop, Data Engineering, Data Ingestion, Hadoop Eco System, Processing Engine, Storage MechanismComments Off