Systems | Development | Analytics | API | Testing

Top 3 Data and Analytics Trends to Prepare for in 2025

2025 is poised to be another year of significant advancements in business intelligence (BI) and analytics. Building on the momentum of 2024, which saw a surge in self-service BI adoption, our attention turns to newer, sophisticated artificial intelligence (AI) solutions. As the data landscape evolves, it’s important to keep agile and adapt to emerging technologies to stay competitive and maximize the value of your analytics investments.

Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. AI pioneer Andrew Ng recently underscored that robust data engineering is foundational to the success of data-centric AI—a strategy that prioritizes data quality over model complexity.

Cut Unnecessary Tests

Is your test suite running as efficiently as it could? @Titus Fortner explains why the number of tests isn't always the problem—it's the value they bring. Deleting tests that constantly fail and don’t provide useful data can significantly reduce your total execution time. Here's what to consider when refining your test suite: Ready to make your test suite more efficient? Watch this episode of Test Case Scenario to learn more.

Data integrity in Ably Pub/Sub

When you publish a message to Ably Pub/Sub, you can be confident that the message will be delivered to subscribing clients, wherever they are in the world. Ably is fast: we have a 99th percentile transmit latency of <50ms from any of our 635 global PoPs, that receive at least 1% of our global traffic. But being fast isn’t enough; Ably is also dependable and scalable. Ably doesn’t sacrifice data integrity for speed or scale; it’s fast and safe.

Mind the Gap: Serving Up a Unified Business Data Model for QSR Success

‍ In our previous article, The Key to Unlocking QSR Growth, we discussed the guiding principles that lay a strong foundation for success in the Quick Service Restaurant (QSR) industry. We highlighted the importance of data analytics for improved decision-making, automation, and scalable growth.

How to Set Up Networking on Confluent Cloud

Setting up network connections can often seem difficult or time consuming. This video provides a wayfinding introduction to help you get networking up and running for all cluster types on Confluent Cloud, showing you your networking options for each cluster type when running on AWS, Azure, or Google Cloud, respectively.

Build and Deploy Kubernetes Applications with Skaffold

Skaffold is a command line tool that facilitates continuous development by streamlining the workflow for building, pushing, and deploying Kubernetes applications. Skaffold handles the complexities of Kubernetes deployments, allowing developers to focus on local application iteration while managing deployments efficiently. Get started with our tutorial.

Role of AI Agents in Software Testing

If you are looking to add intelligent test automation to your testing processes: AI agents are the answer. Unlike traditional testing tools, which depend on static programming scripts or fragile locators, AI agents learn and evolve with the software they test. That is why they are highly effective in dynamic environments. As a result, AI agents have an important role in maintaining software quality in Agile and DevOps workflows.

Guide to Regression Testing: Example Test Plan & Best Practices

Recently we discussed how to boost testing efficiency with free test plan templates, QA professionals are better equipped to follow best practices and industry standards when there is standardization and consistency, which lowers the risk of supervision and guarantees that all required components are tested In the fast-paced world of software development, maintaining the quality and stability of applications is a top priority.