Growth

Designing a Multi-Tier Data Warehouse Architecture with Snowflake

In this blog post, we will explore the intricacies of designing a multi-tier data warehouse architecture using Snowflake, specifically tailored for the use case of heat exchanger fouling prediction. We will explore the key components of the architecture, discuss best practices, and provide detailed code snippets to help you implement this solution in your own environment.

Growth

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How Engineering Enables Product Led Growth

In this blog, we talk about building robust architectures, optimizing user journeys, leveraging data-driven insights, ensuring scalability, and enhancing user retention in the context of Product Led Growth

Growth

min read

Snowflake vs. Redshift: A Detailed Comparison for Data Warehousing

This blog post provides an in-depth comparison of Snowflake and Amazon Redshift, two leading cloud-based data warehousing solutions. We analyze their performance, features, scalability, security, pricing, and our hands-on experience with both platforms.

Growth

min read

Data Mesh: Decentralizing Data Architecture for Agility and Scalability

In this blog we talk about how Data Mesh, a transformative data architecture paradigm, is helping organizations overcome the limitations of traditional centralized data systems by decentralizing data ownership and treating data as a product.

Growth

min read

Electron vs Tauri

Are you considering using either Tauri or Electron for your next project? If so, you’re probably wondering which one to go with. Tauri and Electron are both popular options for developing desktop and web applications, but they each have their advantages & disadvantages. In this blog post, we’ll compare the two and help you decide which one is best for your project.

Growth

min read

Implementing Concurrent Data Updates with Optimistic Locking

Optimistic concurrency control (OCC), also known as optimistic locking, is a concurrency control method applied to transactional systems. In this blog, we talk about implementing concurrent data updates with Optimistic Locking.

Growth

min read

Microservices Architecture

In recent years, we have seen the migrations from traditional monolithic to microservices, conducted by various tech giants and mid-sized businesses. Developers now, enjoy the freedom to work on the allocated microservice or microservices without the fear of breaking down the entire system. It is not only a boon for developers but for the organization as well, as they can make their applications highly scalable and ready for market faster. In this blog, you will get a detailed understanding about Microservices.

Growth

min read

Saga microservice pattern

Data consistency across microservices in dispersed transaction scenarios can be managed with the help of the Saga design pattern. A saga is a series of transactions that updates each service and broadcasts a message or event to start the subsequent transaction step. The saga executes compensating transactions that cancel out the previous transactions if a step fails.

Growth

min read