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What is real-time data warehousing?

Affan Malik

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

Overview

The fusion of real-time activity and data warehousing is called real-time warehousing. The business activity data is captured in a real-time data warehouse as the data arises.

Real-time data warehousing is used as an information retrieval framework as soon as the data becomes available.

In real-time data warehousing, the warehouse updates each time the system executes a transaction. It means that when a query triggers in the warehouse, it will return the company's status at that time.

An illustration showing how the process of real-time data warehousing works

Benefits of real-time data warehousing

Real-time data warehousing has many advantages, including:

  • It makes faster decisions based on more up-to-date, accurate, and transactionally consistent data.
  • It reduces the load on the data source. Many organizations struggle to identify the perfect data loading window due to low-impact log-based change data capture (CDC).
  • It accelerates recovery from data conversion or load issues.
  • It removes the batch window that needs to idle the source database and possibly the data warehouse during loading. It prevents inconsistent data from being reflected in the query.
  • It allows the advantage of robust data warehousing or data martIt is a subject-oriented database which is a segment of an enterprise data warehouse. databases by running hierarchies in databases rather than in a separate runtime environment.

Data warehousing vs. real-time data warehousing

Traditional data warehouses consist of an integrated collection of historical data used to make strategic decisions across the enterprise. It consolidates various independent data sources to create a personal view of your organization.

Real-time data warehousing keeps up with the growing demand for up-to-date information by updating stored data daily. Therefore, the information stored in the real-time data warehouse helps to understand the actual situation of the organization better when the data is queried and analyzed.

Here are some more critical differences between them:

Traditional data warehousing

Real-time warehousing

It's only used for startegic desicions.

This is used for both strategic and tactical decisions.

It's difficult to measure results for this.

It allows results to be measured through operations.

It has data in the form of months, weeks, days, and so on.

It has data in the form of only minutes.

Historical data is updated.

Only real time data is used.

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Affan Malik
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Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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