Data Architecture

Data Lake vs Data Warehouse: What is the Difference?

A data warehouse stores structured, schema-validated data organized for fast, well-defined analytical queries, while a data lake stores raw data of any format…

How Does the InfluxDB Data Model Work?

InfluxDB organizes data around measurements, which act like tables, and each data point within a measurement is defined by a timestamp, a set of indexed tags (…

What Is Downsampling in Time-Series Databases?

Downsampling is the process of reducing high-resolution time-series data into lower-resolution aggregates (like per-minute or per-hour averages) after it ages…

What Are Retention Policies in Time-Series Databases?

A retention policy is a rule that automatically deletes (or archives) time-series data once it passes a defined age, so storage does not grow without bound as…

What is the CQRS Pattern and When Should You Use It?

CQRS (Command Query Responsibility Segregation) splits the logic and often the data models used for writing data (commands) from the logic and models used for…

What is Event Sourcing and How Does It Differ From Storing Current State?

Event sourcing stores every change to a system's data as an immutable, ordered sequence of events, and derives the current state by replaying those events, rat…

Data Lake vs Data Warehouse: What Is the Difference?

A data lake stores raw data of any format — structured, semi-structured, or unstructured — cheaply at scale and applies schema only when the data is read, whil…