Build a Slack Dashboard (Part 1): Extracting Data Using Meltano
Blog post from Preset
The blog post, part of a three-part series, details the process of building a Slack community dashboard using open-source tools. It emphasizes the use of Meltano, an ELT platform combining Singer and dbt, to extract data from Slack, transform it, and load it into a Postgres database. The post guides readers through setting up a Slack API, installing and configuring Meltano, and using the tap-slack extractor to pull data from Slack channels. It illustrates how to manage OAuth tokens and configure extraction settings to sync Slack data incrementally. The post concludes with a preview of a future installment that will focus on building a dashboard in Apache Superset to visualize the extracted data, highlighting the potential for insights into community growth and health.
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