Simplify BigQuery + Elastic use casesīigQuery is a popular serverless data warehouse solution that makes it possible to centralize data from different sources, such as custom applications, databases, Marketo, NetSuite, Salesforce, web clickstreams, or even Elasticsearch. In this blog post, we’ll cover how to get started with agentless data ingestion from Google BigQuery to the Elastic Stack. And all of this is possible with just a few clicks in the Google Cloud Console, without ever installing any data shippers or ETL (extract, transform, load) tools. To enhance the experience for both solutions, Google and Elastic have worked together to provide a simplified way to ingest data from BigQuery tables and views to the Elastic Stack. Many data analysts and developers use Google BigQuery as a data warehouse solution and the Elastic Stack as a search and dashboard visualization solution. By leveraging Dataflow templates, native integrations allow customers to simplify their data pipeline architecture, and eliminate operational overhead related to agent installation and management. Now data analysts and developers can ingest data from Google BigQuery to the Elastic Stack with just a few clicks in the Google Cloud Console. Today we’re excited to announce support for direct BigQuery data ingestion to the Elastic Stack.
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