Generating files for data extracts, reporting and even data migration is a crucial part of any back-end team. A typical data team will have to generate many files to be sent to various clients or consumers inside or outside of the organisation. As with all things, the question is how can the generation of those files be made simpler, and can it be automated to such a degree that files are dynamically generated? The short answer is yes, it can be done dynamically.

Project management across multiple teams, especially under the triple-constraints of time, cost, and scope, is an intensive task. Project managers have to cover tons of ground to keep things on track. For example, they might manage allocating resources based on availability, assigning tasks, controlling execution, tracking and reporting progress, and forecasting future trends.

Wellness and fitness giant overhauls its data operations to support hybrid fitness and adapt to a rapidly changing market.

At Snowflake, we believe in empowering our customers to harness the full potential of their data while maintaining robust compliance standards and safeguarding data privacy. We recognize the critical importance of quickly identifying and safeguarding sensitive data objects, and we consistently strive to provide solutions that help achieve these goals — from advancements such as classification and tag-based policies to the intuitive Data Governance UI.

In a nutshell, here's the biggest difference between Angular and React: With Angular, you get a standardized approach to everything. It’s a structured environment that gives you clear direction and all the resources you need within arm's reach, minimizing venturing outside for additional tools or materials. React, on the other hand, resembles a playground where you're handed the basic building blocks and left to your own devices.

It's a fact that the presence of smartphones in our lives has evolved into a globally dominating reality today. According to a recent reports by Statista, 85.74% of the general population, or roughly 6.93 billion people, are using smartphones and over 7.33 billion people are using mobile phones. This huge figure points to the fact that smartphones are being adopted fast and have become essential to our day-to-day lives.

Curious about Gatling load testing for Kubernetes? Learn how it compares to Speedscale when it comes to functionality, setup, CI/CD integration & more.

In this post, we'll turn to the last piece of the puzzle in LiteStack: Litesearch. As an example, we will equip a prompts index page with a search bar to query a database for certain prompts. We will generate a couple of fake records to test our search functionality against. Let's get to it!

In a world full of microservices and distributed systems, building robust and reliable APIs is of paramount concern. One key concept that plays a vital role in achieving reliability is idempotency. In this article, we'll delve into the world of idempotency, exploring what it is, why it's important, and how it can be implemented to solve the persistent problem of duplicate processing in APIs. Along the way, we'll see how to build an idempotent API in Node.js with Redis.

In the bustling world of web development, where time is as precious as a cold beer on a hot day, automation has become not just a luxury but a downright necessity. Enter Playwright, the shining knight in digital armor, developed by the tech wizards over at Microsoft.