Systems | Development | Analytics | API | Testing

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Fueling the Future of GenAI with NiFi: Cloudera DataFlow 2.9 Delivers Enhanced Efficiency and Adaptability

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams.

Cloudera announces 'Interoperability Ecosystem' with founding members AWS and Snowflake

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture.

Why Short-Lived Connections Are Killing Your Performance! | Kafka Developer Mistakes

Constantly starting and stopping Apache Kafka producers and consumers? That’s a recipe for high resource usage and inefficiency. Short-lived connections are heavy on resources, and can slow down your whole cluster. Keep them running to boost performance, cut latency, and get the most out of your Kafka setup.

Coverage Requirements Discovery with WSO2 Accelerator for Healthcare

In this video, we showcase how the Coverage Requirements Discovery (CRD) workflow integrates seamlessly into clinical actions, such as ordering a CT scan within Electronic Health Record (EHR) systems, using the WSO2 Healthcare solution. The demo setup demonstrated consists of two main components: Backend/CDS Server: Developed using the Ballerina language, this component implements the Clinical Decision Support (CDS) server API. Source Code Web Application: This is a demo application, Built with React, to showcase EHR functionality with necessary CDS workflows. Source Code.

Ep 07: Unlocking ROI with Generative AI in Banking

How are banks leveraging generative AI to deliver real ROI? Join us as we sit down with Nuwan Bandara from AWS to explore how progressive banks are transforming workflows, optimizing processes, and elevating customer experiences with generative AI. From quick wins in intelligent document processing to long-term use cases like personalized banking and fraud prevention, discover the key areas where AI is making its biggest mark. Watch now to learn what works, what doesn't, and how your organization can capitalize on the Gen AI revolution.

AI-Driven Phishing Detection in Choreo

One of the major challenges in detecting phishing is the limitations at the Internet Service Provider (ISP) level. Traditional tools often lack the visibility and ability to recognize phishing sites in real time, as they mostly rely on network-level information. Phishing schemes frequently use complex, changing tactics, like rotating domains or imitating legitimate sites, which can go unnoticed without a detailed analysis of the site’s content.

What Is Platform Engineering?

Platform engineering is a software development approach that combines DevOps principles to elevate the developer experience. It focuses on designing and constructing toolchains and workflows that promote self-service capabilities for software engineering teams. By addressing security, compliance, and operational efficiency, platform engineering enables organizations to build robust internal systems tailored to the needs of both developers and operations teams.

Kotlin Flow Tutorial: Build Reactive and Scalable Applications

Efficient handling of asynchronous data streams is an important tool of modern application development. Kotlin Flows, part of the Kotlin Coroutines library, provide a flexible and elegant solution for working with such data streams. Kotlin Flows are part of Kotlin Coroutines – unlike traditional callbacks or RxJava handling, which can be clunkier and may not directly integrate with your existing code structure easily.

Gain clarity and control with custom git commit status reports

Ever commit code and wonder how it’s faring in the pipeline? Let's make every status update as clear as day. Every time you push new code, a series of automated CI builds and checks spring into action, each telling a part of your project's story. This is where git commit statuses come in—they transform the complex results of these processes into clear, actionable insights. Think of them as real-time signals that indicate whether your code is ready to go live or needs a little more attention.

Find and Fix N+1 Queries in Django Using AppSignal

In this article, you'll learn about N+1 queries, how to detect them with AppSignal, and how to fix them to speed up your Django apps significantly. We'll start with the theoretical aspects and then move on to practical examples. The practical examples will mirror scenarios you might encounter in a production environment. Let's get started!