Creactives' TAM is an AI-powered web app. It exploits ERP's structured/ unstructured info (short and long descriptions, technical sheets) to cleanse, enrich, deduplicate, and govern MMD by connecting all legacy systems. Duplicate Material Records identification steps: 1. Material Categorization on custom taxonomy and UNSPSC or other, without mapping tables. 2. Material identification by capturing Technical attributes values: Brand & Producer code, Norms/measures. 3. Duplicates flagged among those of each category with equal Technical Attributes values. Preventing duplicates with Smart Material Creation: 1. Real-time automatic duplicate check, 2. New material guided creation supporting categorization, technical attribute normalization, and automatic multilanguage normalized description. USP: • Native in 30 languages • Largest Knowledge Base of industrial components • Crowd Learning - TAM usage automatically updates AI
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Based on our record, Apache Kafka seems to be more popular. It has been mentiond 121 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 8 days ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 3 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 4 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 5 months ago
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