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Описание Knoldus Inc.

Knoldus is the world’s largest Functional Programming (Scala, Rust, Java) and Fast Data (Spark, Flink) company. Our mission is to provide reactive and streaming fast data solutions that are message-driven, elastic, resilient, and responsive to build High-Performance Systems. We help organizations by developing and modernizing their system with custom IT solutions. We solve IT challenges such as: ~ High-Performance Systems ~ Intelligent driven decision - AI/ML ~ Data Strategy and Analytics ~ Platform Strategy ~ Blockchain (DAML) ~ Expert Services Knoldus is fortified by an expansive network of certified strategic partners like Lightbend (Scala ecosystem), IBM, Datastax(Cassandra and Graph ecosystem) , Confluent(Kafka ecosystem), and Databricks(Spark in the Big Data space); helps enterprise clients – including many Fortune 500 companies – to create the next-generation capabilities that set them apart and create new opportunities. With a team of 175+ seasoned experts, Knoldus is headquartered in Canada with delivery centers in Chicago, New Delhi, Noida, and Singapore Knoldus has global references in: ~ Finance ~ Banking & Insurance ~ Healthcare ~ Retail and E-commerce ~ Travel and Tourism ~ Media and Entertainment ~ IT and Networking Some of our marquee clients include Google, HPE, EY, Elsevier, BoA, Cisco, VMWare, Huawei, Philips and quite a few silicon valley startups which have gone from being 2 people companies to 50 million dollars + companies Our process focus: Strongly Agile. Knoldus software development model called Knolway is based upon the best Agile practices built on the combination of Scrum and XP where concepts such as Domain Driven Design, Continuous Integration, Test Driven Development, and Pair Programming are used extensively. Our Knowledge sharing and Community Focus: Knoldus blogs have created a mark in the industry. Also, we have a proven track record working with the community, leading open-source projects, and participating in global events as though leaders and sponsors.
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Мне нравится, как легко мне, аутсайдеру с небольшим опытом работы со Scala или Spark Streaming API и т. д., было начать создавать свою первую систему реального времени с использованием этих инструментов/фреймворков! Документация может быть более полной, когда вы только начинаете, но как только вы достаточно ознакомитесь с тем, что каждый из них делает, они действительно очень помогут!! Мы смогли создать нашу собственную панель оперативных показателей, которая помогает нам отслеживать все…

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  • Простая интеграция
  • Простота использования, а не громоздкость