To get started with Tailer, you can follow this tutorial to learn how to create a first data pipeline.

In this example, we want to process and analyze data from a fictional retailer called "Iowa Liquor". These data are organized in CSV files named according to a specific pattern including a timestamp, and are streamed at regular intervals into a Google Cloud Storage bucket. We'll first transfer them to a bucket located in a different Google Cloud project, load the data into a BigQuery table, and then prepare the data in order to analyze them with an AI model.

  • How data flows through a Tailer Platform data pipeline

  • Creating JSON configuration files for data operations

  • Deploying data operations with Tailer SDK

  • Checking information in Tailer Studio

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