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An Intelligent Future for Manufacturing

CIO

For Huawei, digitally transforming manufacturing through advanced ICT including 5G technologies, cloud computing, big data and AI, is the key to reshaping industries for the future. With plans to expand, the company needed to upgrade its IT capabilities especially for storage and processing.

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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

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Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Supply chain With companies trying to stay lean with just-in-time practices, it’s important to understand real-time market conditions, delays in transportation, and raw supply delays, and adjust for them as the conditions are unfolding. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Transport layer: networks and gateways. How an IoT system works. Microsoft Azure IoT.

IoT 141
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What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

It’s necessary to figure out how to get sales data from its dedicated database talk with inventory records kept in a SQL server , for instance. This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage.