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At its simplest, a data center is a physical facility that organizations use to house their critical applications and data. A data center's design is based on a network of computing and storage resources that enable the delivery of shared applications and data. The key components of a data center design include routers, switches, firewalls, storage systems, servers, and application-delivery controllers.

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Kubernetes, the container-centric management software, has become the de facto standard to deploy and operate containerized applications. Google Cloud is the birthplace of Kubernetes—originally developed at Google and released as open source in 2014. Kubernetes builds on 15 years of running Google's containerized workloads and the valuable contributions

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Microsoft Azure is a cloud computing platform that offers a wide range of services to businesses. The cloud services include more than 200 products, all of which you can build, run and manage using Azure. You can manage the applications through multiple clouds and on-premises.

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Blockchain is a record-keeping technology designed to make it impossible to hack the system or forge the data stored on the blockchain, thereby making it secure and immutable. It's a type of distributed ledger technology (DLT), a digital record-keeping system for recording transactions and related data in multiple places at the same time.

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Big data is a concept that describes the flood of unstructured data created by everything from social media posts and network traffic to the Internet of Things (IoT), public safety cameras, and global weather data. Unlike small data—which can be structured, stored, and analyzed in a relational database—big data exceeds the capacity of tables, rows, and columns in complexity and processing.

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Certainly! "Adding data to an Access database using ASP involves integrating server-side Comcast Support phone number scripting with the database to insert records. This dynamic process allows for efficient data management and retrieval in web applications

Artificial intelligence refers to computer systems that are capable of performing tasks traditionally associated with human intelligence — such as making predictions, identifying objects, interpreting speech and generating natural language. AI systems learn how to do so by processing massive amounts of data and looking for patterns to model in their own decision-making. In many cases, humans will supervise an AI's learning process, reinforcing good decisions and discouraging bad ones, but some AI systems are designed to learn without supervision.

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In Agile processes, there is constant feedback, allowing for team members to adjust to challenges as they arise and for stakeholders an opportunity to communicate consistently. Though originally created for software development, the Agile approach is now widely used to execute many different types of projects and run organisations.

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