Systems | Development | Analytics | API | Testing

Modern data platforms enable enterprises to extract valuable business insights from data, sourced from various origins. Data engineers, data scientists, and other data practitioners utilize both data streaming and batch processing frameworks as a means to provide these insights. While batch processes work on historical data, stream processing extracts insights in real time, enabling businesses to react faster with respect to changing events.

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.

History is full of dynamic duos like peanut butter and jelly or Batman and Robin—but is it time to add APIs and ERPs to the mix? According to a 2019 study by Cloud Elements, APIs and ERPs are essential to modern business strategy. 55 percent of respondents believe that API integrations are “critical” to their operations. What’s more, the survey’s participants say that ERPs are one of their top three business use cases for API integrations.

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

Product analytics helps you understand how users interact with your product, offering insights that drive growth and improve user experience. In this guide, you’ll learn about essential metrics, strategies, and tools for effective product analytics. By leveraging these insights, businesses can make informed decisions, optimize product features, and enhance overall user satisfaction.

End-to-end (E2E) testing and regression testing are critical aspects of software testing that play very different roles. E2E Testing evaluates the entire application, simulating real user experiences. In contrast, regression testing checks if recent updates or changes have inadvertently disrupted existing functionality. Choosing the right testing strategies is as important as testing frequently.

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.