Internal app sharing is a crucial step in ensuring the quality and functionality of applications before their public release. With the upcoming discontinuation of Microsoft's App Center, developers are looking for robust alternatives that streamline the distribution process and address common challenges faced during internal testing phases. This post explores the intricacies of internal app sharing, highlighting common obstacles and reviewing platforms designed to simplify the process.

I’m happy to share that Snowflake has signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure By Design Pledge as we champion the advancement of industry standards for security in technology design. The CISA pledge to foster tech-ecosystem security deeply aligns with Snowflake’s own product design ethos, where security is built in from the start.

Cloudera’s data-in-motion architecture is a comprehensive set of scalable, modular, re-composable capabilities that help organizations deliver smart automation and real-time data products with maximum efficiency while remaining agile to meet changing business needs. In this blog, we will examine the “why” behind streaming data and review some high-level guidelines for how organizations should build their data-in-motion architecture of the future.

Idempotent operations produce the same result even when the operation is repeated many times. The result of the 2nd, 3rd, and 1,000th repeat of the operation will return exactly the same result as the 1st time. In this post, we will demystify the concept of idempotency—a fundamental property that ensures consistency, predictability, and reliability in APIs and distributed systems.

Ever wondered why your favorite websites are so fast and responsive? It all boils down to how they handle DOM manipulation. The Document Object Model (DOM) represents your web page as a structured tree. Traditionally, we used JavaScript methods like getElementById or removeChild to make changes. But as websites get more complex, these methods can slow things down. Enter React, with its game-changing Virtual DOM.

Ensuring data integrity is crucial for accurate decision-making and regulatory compliance. Poor data quality costs businesses an average of $15 million annually. This highlights the need for robust analytics testing. This article explores the importance of analytics testing. It discusses key use cases and common challenges. Strategies to improve analytics testing processes will be provided. These will help maintain data integrity without expanding the in-house QA team.

E-commerce has transformed the way we shop and conduct business. With global retail online sales expected to reach $8.1 trillion by 2026 and digital buyers accounting for 33.3% of the global population, the e-commerce industry is growing at an unprecedented rate. However, this rapid expansion creates a critical need for robust e-commerce testing.

Engineering and product leaders often struggle with balancing speed, quality, and cost in software testing, especially with the rapid evolution of technology and increasing demands for efficiency from executives. To address these challenges, many are turning to Testing-as-a-Service (TaaS). This outsourcing model uses expert partners to scale testing capabilities dynamically without requiring extensive in-house resources.

With BigQuery and data utilization including AI/ML, Japanese cosmetics brand Shiseido cut processing times 90% and saw 80% cost savings.