Building Data Ingestion PlatformBuilding 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<./li>
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 ApplicationsOpen 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
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