For organizations looking to accelerate their Azure adoption while maintaining control, security and reliability, Fivetran provides a best-in-class solution that consistently outperforms ADF.

In the new age of Industry 4.0 the shopfloor is no longer an isolated environment. It’s the heartbeat of manufacturing operations, responsible for producing, monitoring, and refining goods. But since the lines blur between operational technology (OT) on the shopfloor and information technology (IT) in the enterprise, integrating these systems has become a formidable challenge.

If you want to run a SaaS app where your customers can each have one of their own domains pointing to your app, then you will encounter two problems: For example, let's say you wanted to provide a status page service hosted at yourapp.com that allows customers to set up their own domain (like status.acmecorp.com) to be served by your app. Let's dive into the solutions..

Querying databases comes with costs—wall clock time, CPU usage, memory consumption, and potentially actual dollars. As your application scales, optimizing these costs becomes crucial. Materialized views offer a powerful solution by creating a pre-computed, optimized data representation. Imagine a retail scenario with separate customer and product tables. Typically, retrieving product details for a customer's purchase requires cross-referencing both tables.

At NodeSource, we pride ourselves on delivering the best tools and open source support for Node.js users. Staying aligned with the latest releases is a key part of that commitment. With the latest Long-Term Support (LTS) release, Node.js 22 (codenamed "Jod"), we continue to ensure our users have access to reliable, secure, and up-to-date **Node.js binaries **through our NodeSource Binary Distributions.

$190 trillion+ market catapults Testlio above 100 payment testing engagements.

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. This is where the Cloudera AI Inference service comes in.

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.

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.

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.