Discover how a robust data platform streamlines the data lifecycle, boosts analytics, ensures security, and drives business insights. We elaborate on what a data platform is, its layers, benefits, and what there is to know when you build one.
Data transformation involves altering, refining, and structuring information into a standardized and usable format. It plays a key role in enabling effective data analysis, supporting decision-making, and driving organizational growth. Read more about different types of data transformation, as well as its benefits and challenges.
In this article, we will compare two approaches to data processing, namely batch and stream processing. Each of them has different characteristics and serves different purposes, but we will attempt to break them down to help you decide which one would better suit your project.
In this article, we will examine common monorepo challenges and show how Bazel helps turn a large codebase into a more manageable, efficient ecosystem. Also, we included a link to a working repository where the ideas described here are implemented.
Companies, especially mid-sized and larger ones, face the challenge of structuring projects at scale. Arguably, almost every technology and paradigm can be used by a single developer to write a small piece of code, but obviously, this is not enough for any organization—engineering solutions must allow people from multiple disciplines to develop and maintain the application efficiently throughout the whole application lifecycle.
Platform engineering builds Internal Developer Platforms (IDPs) to simplify infrastructure management, improve developer experience (DX), and boost productivity through self-service capabilities.
Being software engineering consultants we have a unique perspective on how different developer experience tools work with our client’s tech stacks. We have gathered a collective experience of our engineers and prepared this list of 9 developer experience tools that our clients and their developers found helpful.
Code organization is easy when work is done in a small team, and the codebase is not yet extensive. However, as the project's scope grows and new sub-teams appear, the question of how to subdivide and manage the growing codebase becomes increasingly important.
This article will guide you through a notable subset of Bazelʼs querying features backed by examples. These are useful for debugging, exploration, and tooling. We’ll start with basic Bazel queries with target patterns, then we will move on to demonstrating Bazel aquery and cquery.
The micro frontend architecture gives engineering teams flexibility in developing and maintaining different parts of the application. However, this comes with drawbacks, such as an increased total size of the code and an additional layer of complexity. In this article, we will go through the pros and cons of this architecture and share our recommendations for implementing it in your project.
Developer Experience (DX) has emerged as a crucial factor in the success of any software development project. At its core, DX represents the overall happiness, productivity, and ease with which developers can create high-quality work. But how can you truly measure the DX of your project?
There is more than one way to build a micro frontend architecture. The most sensible, and popular, is via the appropriate framework. If you're short on time, here's our quick take: single-spa is likely the framework you'll want for your project right now. It is light, fast and reliable.
