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Real Time Data Ingestion Platform

Chandan Gaur | 24 Nov 2017

Building Data Ingestion Platform

Building a Data Ingestion Platform using Apache Nifi could be tedious. Let's explore this use case that reveals the challenges and techniques to build such a platform.
  • Apache Nifi is an open source for distributing and processing of data supporting data routing and transformation.
  • It is an integration, automation tool to perform data ingestion at a faster pace.
  • Data Ingestion is a process of moving data from source to destination to analyze further.

Business Challenge for Building Data Pipeline

  • Build a Data Pipeline on a single platform for each case.
  • Build a platform to handle high load.
  • Different Processes run at Different Time
  • Data Loss and Duplication.
  • Distributed Systems lead to Broken Connections
A unified data ingestion framework for extracting, transforming and loading a large volume of data from a variety of data sources. Taken From Article, Unified Data Ingestion Solution

Solution Offerings for Using Apache Nifi

  • Apache Nifi for building Data Ingestion Platform uses a reliable system to process and distribute the data over several resources.
  • Apache NiFi works in both standalone mode and cluster mode. Apache Nifi retrieves incoming messages, filters, and formats using different processors.
  • Real-Time Processing in the cluster to perform ETL at Real-Time.

Apache Nifi Features and Applications

Open Source is an indispensable factor in ETL world. Apache Nifi is composed of processing elements, ETL with a graphical interface.Having Flowfiles inside Apache Nifi DataFlows containing metadata information.

Key Features of Apache Nifi

  • Visual Command and Control
  • Enables Scale Out, Scale Up and Scale Down
  • Data Routing
  • Dynamic Prioritisation
Apache Nifi is highly faulted tolerant, leveraging automation and managing the flow of information between the systems promoting data provenance, security, and extensibility.

Supremacy of Apache Nifi

  • Enables De-coupling of Data Ingestion
  • High Availability due to Cluster-Mode
  • Scalable Approach
  • Data Fetching at a faster pace
  • Ensures Data Lineage
  • Real-Time User Interface
  • Data Source Agnostic Platform
  • Data Security

Real-Time Applications of Apache Nifi

  • Enterprise Data Integration Platform
  • Edge Intelligence for IoT
  • Real-Time Monitoring of Customer Activity
  • Data Flow Management
  • Relational Data Ingestion
  • Streaming Analytics
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