Getting Started

Welcome to TapData! This quick-start guide walks you through building a real-time data pipeline—from connecting sources to publishing analysis-ready APIs.

TapData’s Incremental Materialized Views (IMVs) let you define joins and transformations once, and automatically keep the results fresh in real time—ideal for analytics, applications, and APIs.

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If you’re looking to build a complete Operational Data Hub (ODH), see the ODH Handbook for the full architecture and design approach.
For now, this guide gives you a fast way to experience TapData’s core capabilities.

What Will You Do?

You'll learn how to:

1. Install and Set Up TapData
   Deploy TapData and prepare your environment.

2. Connect Your Data Sources
   Add connections to your source databases (like MySQL) and a target MongoDB database to sync and transform data.

3. Create a Real-Time Incremental Materialized View
   Use the visual designer to combine tables into a single, always-up-to-date view—ready for instant querying.

4. Publish Your View as an API
   Expose your real-time data as a secure API endpoint for dashboards, CRM systems, or downstream apps.

Ready to try it out? Follow the steps below to create your first real-time data pipeline.

🗃️ Step 1: Install and Setup

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📄️ Step 2: Connect a Data Sources

Once you have installed TapData, you need to connect the Agent to the data sources through TapData, and you can create a data pipeline once the connection has been established.

📄️ Step 3: Build Real-time Materialized View

This article shows you how to use TapData to build Incremental Materialized Views (IMV)—real-time, high-performance analytics tables that combine data from multiple sources to speed up your insights and decision-making.

📄️ Step 4: Publish Your View as an API

After creating your Incremental Materialized View, you can easily publish APIs that provide flexible read-only access to your view. This lets your marketing platforms, BI dashboards, or any downstream services securely access up-to-date data in real time—without additional ETL or complex SQL queries.