Understand the use case
Learn how you can use a Flow Management cluster connected to a Streams Messaging cluster to build an end-to-end flow that ingests data to Amazon S3 storage. This example use case shows you how to use Apache NiFi to move data from Kafka to S3 buckets.
Why move data to object stores?
Cloud environments offer numerous deployment options and services. There are many ways to store data in the cloud, but the easiest option is to use object stores. Object stores are extremely robust and cost-effective storage solutions with multiple levels of durability and availability. You can include them in your data pipeline, both as an intermediate step and as an end state. Object stores are accessible to many tools and connecting systems, and you have a variety of options to control access.
Apache NiFi for cloud ingestion
As a part of Cloudera Data Flow in CDP Public Cloud, Flow Management clusters run Apache NiFi. You can use NiFi to move data from a range of locations into object stores. NiFi supports data transfer from nearly any type of data source to cloud storage solutions in a secure and governed manner. It also offers a scalable solution for managing data flows with guaranteed delivery, data buffering / pressure release, and prioritized queuing.
NiFi helps you to build a cloud ingestion data flow in a quick and user-friendly way, by simply dragging and dropping a series of processors on the NiFi user interface. When the data flow is ready, you can visually monitor and control the pipeline you have built.
This use case walks you through the steps associated with creating an ingest-focused data flow from Apache Kafka into Amazon S3 object stores. If you are moving data from a location other than Kafka, see the Getting Started with Apache NiFi for information about how to build a data flow, and about other data get and consume processor options.