Understand the use case

Learn how you can use Apache NiFi to move data to Apache Solr in your Data Discovery and Exploration cluster in Cloudera on cloud.

Time series use cases analyze data obtained during specified intervals and can improve performance based on available data. These require that you store your documents efficiently in your search engine. You can use Apache NiFi to move data from a range of locations to the Solr service in your Data Discovery and Exploration cluster in Cloudera on cloud.

Data Discovery and Exploration clusters provide an efficient way to have Apache Solr up and running to store and index documents that can be queried by external applications. Beyond search queries, this also allows for building insight applications or exploration services based on text or other unstructured data. For more information on how to use Data Discovery and Exploration templates in Cloudera on cloud, see the Discover and Explore Data Faster with the CDP DDE Template blog post.

This data ingest use case walks you through the steps associated with creating a data flow that moves data from Kafka in a Streams Messaging cluster in Cloudera on cloud into Solr in a Data Discovery and Exploration cluster, in the same Cloudera on cloud environment. This gets you started with creating an ingest data flow into Solr. If you want to move data from a location other than Kafka, review the Getting Started with Apache NiFi for general information about how to build a data flow and about additional data ingest processor options. You can also check the other Cloudera on cloud ingest use cases.