Real Time Data Ingestion Platform

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Building Data Ingestion Platform

Building a Data Ingestion Platform using Apache Nifi could be tedious. Let's explore this use case, which reveals the challenges and techniques for building 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, used to build a 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 the ETL world. Apache Nifi is composed of processing elements and ETL with a graphical interface. Flowfiles containing metadata information are inside Apache Nifi DataFlows.

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 fault-tolerant. It leverages automation and manages the flow of information between systems, promoting data provenance, security, and extensibility.