XenonStack Recommends


Azure Data Analytics Pipeline with Apache Spark

Chandan Gaur | 27 May 2017

Introduction to Real-Time Streaming

  • Real-Time Streaming involves data pipeline for Data Ingestion from different sources using Apache Nifi, Apache Kafka, Apache Spark, and Cassandra.
  • Apache Nifi provides Web UI Dashboard and helps to automate the workflow.

Real-Time Streaming Architecture for Data Pipeline Components

  • Automate Data Workflow - Apache Nifi
  • Messaging System - Apache Kafka
  • Stream Processing Engine - Apache Spark Streaming
  • Rest API & Twitter Dashboard for Real - Time Tweets

Business Challenge for Building Data Pipeline

  • Benchmarking of Data Pipeline using Nifi and Kafka with message size and duration.
  • Real-Time Streaming, Memory Management, scalability, and concurrency.
  • Implement Interactive Dashboard with Real-Time Data Analytics and visualization in D3.js Charts and React.js.
  • End-to-End delivery guarantee and Error handling of data from Twitter agent to processing engine.
  • Test Data will be Apache Hadoop Cluster Logs and Twitter Stream API.

Solution Offered For Building Real-Time Streaming Data Pipeline

  • Real-Time Streaming Platform with Apache Nifi as Collector as well as Producer for Data Ingestion.
  • Apache Nifi as Collector and Apache Kafka as a Producer with Apache Spark Streaming and Apache Spark Structured Streaming.
  • Apache Cassandra deployed as Microservices architecture on Kubernetes as well as on EC2 Instances as a Cluster for scaling, guaranteed delivery of data across the Data Pipeline.

Download the Use Case

Download Now and Get Access to the detailed Use Case

XenonStack Cyber Security Solution Image
captcha text
Refresh Icon

Thanks for submitting the form.

Request for Services

Find out more about How your Enterprise can Streamline Data Operations and enable effective Management

Thanks for submitting the form.