Data Warehouse

Covers Warehouse usage to create data analytics queries against historical data nad create APIs to support Applications development

A Data Warehouse serves as storage layer for historical data of XFI chain and provides meaningful business insights, embeddable charts and data API. It is designed to store large volumes of historical data and enable fast, complex queries across various data types.

Key Features:

• Analysis: Optimized for read access, making it efficient for analytical queries which help in reporting, data mining, and predictive analytics.

• Historical Intelligence: Maintains historical data to analyze trends over time, providing a valuable resource for longitudinal studies and forecasting.

• Scalability: Designed to scale out to handle terabytes to petabytes of data, accommodating growth seamlessly.

• Performance: Built with performance optimization mechanisms such as indexing, partitioning, and caching to ensure quick retrieval of data.

Technologies Involved:

The backbone technologies of Data Warehouses include Clickhouse and Redash query and execution engine.

Data Warehouse is a builder's tool that aggregates all data in one place, simplifies complex data analysis, and supports high-speed querying and reporting, all of which empower applications build process.