Systems | Development | Analytics | API | Testing

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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.

Pay-As-You-Live: The Future of Life and Health Insurance Unveiled

The insurance industry is experiencing a profound shift, moving away from traditional models toward more personalized, data-driven solutions. The “Pay-As-You-Live (PAYL)” model leads this change, a groundbreaking life and health insurance approach that adjusts premiums based on each individual’s lifestyle choices and behaviors. Rather than relying on general statistics and broad risk categories, Pay-As-You-Live customizes coverage to reflect the unique health habits of each policyholder.

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.

How to Build a Risk Management Platform for Payment Gateways Like Stripe [with example client case study]

When you’re a popular name in the payment gateway market, like Stripe, you need to maintain a reputation for intelligent payment processing as well as strict payment security. Customers expect proactive fraud prevention and compliance management features to be inherently included in your offerings. Failing to do so will harm your brand, and you might not even get two more strikes to reaffirm your presence.