Create Incremental Materialized Views

This section 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.

Before diving into view creation, we recommend starting with the Overview to understand the design principles, data structure options, and use cases for Incremental Materialized Views.

Learn About Operational Data Hub (ODH)

For enterprise-grade data management, explore TapData's Operational Data Hub framework. ODH provides a structured approach with dedicated layers for data ingestion (FDM), transformation (MDM), and delivery (ADM), offering valuable insights into modern data architecture and team collaboration patterns.

📄️ Overview

This section will help you design real-time Incremental Materialized Views (IMVs) in TapData—tailored to your downstream use cases. You'll learn how to choose the right data structure for your needs, whether that's a flat table, embedded documents, or nested arrays, ensuring your data is clean, consistent, and ready to drive modern analytics and APIs.

📄️ Build View with IMV Guide

Use TapData’s IMV Guide to design real-time, incremental materialized views that deliver analysis-ready data without complex SQL or heavy ETL. Ideal for BI dashboards, marketing analytics, and API integrations—all with a simple, no-code experience.

📄️ Build View with Data Pipeline

Use TapData’s Data Pipeline to build real-time, incremental materialized views with flexible, visual workflows—perfect for adding rich processing steps and custom transformations.

📄️ Build View with TapFlow

Use TapData’s TapFlow to build real-time, incremental materialized views with full code-level control—ideal for automation, advanced configurations, and developer workflows.