Amazon OpenSearch is an open-source, distributed search and analytics engine compatible with Elasticsearch. It is a fully managed service by Amazon Web Services (AWS). OpenSearch allows you to search, explore, and analyze your data, making it a powerful tool for various applications. AWS now has a new open search service called Amazon OpenSearch Ingestion.
Ingesting data into Amazon OpenSearch for data analysis is a capability of Amazon Open source service. As you configure your available search domains, you should also be able to configure ingest pipelines for open-source ingestion as part of it. A data prepper powers Amazon OpenSearch Ingestion. Data prepper is an open-source component of an OpenSearch project which allows you to collect, transform, and route data really and easily from the source into your OpenSearch domain.
How does Amazon OpenSearch Ingestion work?
OpenSearch Ingestion is composed of several data pipelines. These pipelines can be either log, trace, metric, or metric data pipelines. And it is made up of a source and many processors. Sources are places that you can collect your data from today.
The main use of data pipelines are:
- Some pipelines are cost-saving by deduplicating data flowing through those pipelines, filtering them, sampling them, and that can help you optimize your storage cost. Data pipelines can also be used to route data to lower-cost storage options.
- Ensures data quality, so you can enforce standards, normalize data, and adopt some schemas.
- Helps you to achieve privacy objectives, so you can redact, obfuscate sensitive data, and control routing with your data pipelines.
The Open Search pipeline is built on an open-search project called Data Prepper. Data Prepper is a community-driven project and is fully open-source. It supports distributed trace, log, and metric data. Many pipelines help filter, enrich, normalize, and transform data. Also, supports stateful processing with data aggregation and span-trace analysis.
You can get started with Amazon OpenSearch integration by navigating to the OpenSearch Service console. On the main page of the console, you will see a list of domains that you have configured within the account. From the left panel, navigate to the ingestion pipeline, where all the configured pipelines are available. These pipelines support distributed trace, log, and metric data. And can be used to route to one or more OpenSearch domains that you have configured within the account.
Click on Create Pipelines. On the page that appears, name the pipeline and set the OCU scale from minimum to maximum. And opens injection automatically and scales it based on different factors.
The Configuration blueprint helps you get started very easily and quickly with a couple of buttons in it.
Fill in all the information required and click on the Next button.
Conclusion
Ingesting data into Amazon OpenSearch for Data Analysis is a comprehensive solution for managing massive amounts of data. Ingesting data into OpenSearch is a straightforward process and can be achieved via various methods such as API calls, logs, or Beats. Whether you’re building a search engine, an analytical dashboard, or a business intelligence application, OpenSearch ingestion provides a reliable and effective solution for ingesting, processing and analyzing your data.
Expert team of Metclouds Technology help you on all of your ingestion needs with Amazon OpenSearch Ingestion.