Products related to Complexity:
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Microsoft SQL Server 2022 Standard
Microsoft SQL Server 2022 is the most Azure-enabled version to date Microsoft SQL Server and offers further innovations in performance, security and availability. It is part of the Microsoft Intelligent Data Platform, which unifies operational databases, analytics and data management. SQL Server 2022 integrates with Azure Synapse Link and Microsoft Purview to provide customers with deeper insight, prediction and governance from their data at scale. Cloud integration is enhanced with managed disaster recovery (DR) on Azure SQL Managed Instance and real-time analytics, allowing database administrators to manage their data assets with greater flexibility and minimal end-user impact. Performance and scalability are automatically improved with built-in query intelligence. Business continuity with Azure Ensure availability with fully managed disaster recovery in the cloud with Azure SQL's managed instance linking capability. Continuously replicate data to and from the cloud. End-to-end analysis of on-premises operational data. Gain near real-time insights by removing the separation between operational and analytical stores. With Azure Synapse Link, you can analyze all your Spark and SQL runtime data in the cloud. Industry-leading performance and availability Benefit from performance and availability improvements to enable faster queries and ensure business continuity. Accelerate query performance and optimization without changing code. Keep multi-write environments running smoothly when your users are spread across multiple locations. One of the most secure databases in 10 years Achieve your security and compliance goals with the database that has been one of the most secure in ten years. Use an immutable general ledger to protect data from tampering. Transparency for your entire data set Manage and control your entire data set and overcome data silos by integrating SQL Server with Azure Purview. The most requested features for SQL Server 2022 EAP applicants include: Link feature for Azure SQL Managed Instance1: To ensure uptime, SQL Server 2022 is fully integrated with the new Link feature in Azure SQL Managed Instance. With this feature, you now get all the benefits of a Platform-as-a-Service (PaaS) environment applied to DR, so you spend less time setting up and managing it, even compared to an Infrastructure-as-a-Service (IaaS) environment. General availability of the Link bi-directional disaster recovery capability for Azure SQL Managed Instance will follow the general availability of SQL Server 2022. Azure Synapse Link for SQL: Azure Synapse Link for SQL Server 2022 provides near real-time analytics and hybrid transactional and analytical processing with minimal impact on operational systems. Microsoft Purview integration: SQL Server 2022 integrates with Microsoft Purview, a unified data management service, for better data discovery that lets you break down data silos, and policy management for access control. General ledger: A new technology that brings the benefits of blockchains to relational databases by cryptographically linking data and its changes in a blockchain structure to make the data tamper-proof and verifiable. By embedding trust into the SQL Server database engine, Ledger facilitates the implementation of multi-party business processes, such as supply chain systems, and enables participants to verify the integrity of centrally stored data without the complexity and performance overhead of a blockchain network. Ledger can also help customers streamline compliance audits by providing auditors with cryptographic evidence of data integrity and eliminating the need for manual forensics. Intelligent Query Processing Enhancements: We are extending more scenarios based on common customer issues. For example, the "parameter-dependent plan" problem refers to a scenario where a single cached plan for a parameterized query is not optimal for all possible incoming parameter values. With SQL Server 2022's parameter-dependent plan optimization feature, we automatically enable the generation of multiple active cached plans for a single parameterized statement. These cached execution plans consider different data sizes based on the specified runtime parameter values. Query Store: We add support for read replicas and enable query hints to improve performance and quickly mitigate issues without having to change the T-SQL source. In addition, Query Store Hints are introduced in SQL Server 2022. Query Store Hints provide a user-friendly way to design query plans without changing application code. Among the security enhancements in SQL Server 2022: Include Azure Active Directory authentication, support for richer queries in Always Encrypted with secure enclaves, backup and restore of certificates in PFX format, and numerous other enhancements to improve standar...
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Increase security, reduce complexity with centralized IT management tools. Unpatched vulnerabilities in common applications are one of the biggest threats to enterprise IT security. This risk is compounded by the increasing complexity of IT - if you don't know what you have, how can you secure it? By centralizing and automating key security, configuration and management tasks such as vulnerability assessment, patch and update distribution, inventory management and application rollouts, IT administrators not only save time but also optimize security. Kaspersky Systems Management helps minimize IT security risks and cut through IT complexity by giving managers complete control and visibility over multiple devices, applications and users in real time from a single screen. INCREASE SECURITY Increase IT security and reduce the burden of routine tasks with timely, automated patching and updates. Automatic vulnerability detection and prioritization supports greater efficiency and reduces resource burden. Independent tests1 show that Kaspersky Lab delivers the most comprehensive automated patch and update coverage in the fastest time. CONTROL WITH FULL TRANSPARENCY Complete network visibility from a single console eliminates administrator guesswork and provides visibility into all applications and devices (including guest devices) entering the network. This provides centralized control of user and device access to corporate data and applications in compliance with IT policies. CENTRALLY MANAGED Kaspersky Lab's system management is a managed component of Kaspersky Security Center. Every function is accessed and managed through this central console, using unified, intuitive commands and interfaces to automate routine IT tasks. Vulnerability assessment and patch management Hardware and software inventory Remote software installation and troubleshooting, including remote office coverage Operating systems deployment SIEM integration Role-based access control Centralized management Features WEAKNESS ASSESSMENT AND PATCH MANAGEMENT Automated software scanning enables rapid detection, prioritization, and remediation of security vulnerabilities. Patches and updates can be deployed automatically and in the shortest possible time2 for Microsoft and non-Microsoft software. The administrator is informed about the status of the patch installation. Non-critical fixes can be postponed to the end of the day with Wake-on-LAN, even when computers are turned off. Multicast broadcasting allows local distribution of patches and updates to remote offices, reducing bandwidth requirements. HARDWARE AND SOFTWARE INVENTORY Automatic discovery, inventory, notification and tracking of hardware and software, including removable media, provides administrators with detailed visibility into devices and assets used on the corporate network. Guest devices can be discovered and provided with Internet access. License control provides visibility into the number of nodes and expiration dates. FLEXIBLE OPERATING SYSTEM AND APPLICATION DEPLOYMENT Centralized, easy creation, storage, cloning and deployment of optimally secured system images. After-hours deployment via Wake-on-LAN with post-installation processing for greater flexibility. UEFI support. SOFTWARE D ISTRIBUTION Remote distribution/updating from a single console. Over 100 popular applications identified through Kaspersky Security Network can be automatically installed, even after hours if desired. Full support for remote troubleshooting, with enhanced security through user privileges and session logs/audits. Saving traffic to remote offices with multicast technology for local software distribution. SIEM-INTEGRATION Report directly and perform event transfers to leading SIEM systems - IBM® QRadar® and HP ArcSight. Collect logs and other security-related data for analysis, minimizing administrator workload and tools while simplifying enterprise-level reporting. ROLE-BASED ACCESS CONTROL Differentiate administrative roles and responsibilities across complex networks. Customize the console view based on roles and privileges. CENTRALIZED ADMINISTRATION An integrated administration console, Kaspersky Security Center, helps manage system security for desktop, mobile, and virtual endpoints across the network from a single interface.
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Microsoft Windows Storage Server 2012 R2 Standard
Storage plays a critical role in cloud and data center services. With the increase of new applications for continuous services, storage requirements continue to grow. Windows Server 2012 includes a number of storage features and capabilities to address the storage challenges your organization faces. Whether you want to use cost-effective industry-standard server hardware or a high-end storage area network for the most demanding workloads: Windows Server 2012 provides you with a comprehensive set of features to help you get the most out of your storage investment. Windows Server 2012 was designed from the ground up with a strict focus on storage. Improvements range from provisioning of storage, to the way data is clustered and transferred over the network, to access and management. You can combine these flexible options to meet your business needs. In other words: Windows Server 2012 storage solutions deliver the efficiency, performance, resilience, and availability you need at every level. Storage - Functions Windows Server 2012 offers you a comprehensive set of features to help you get the most out of your storage investment. Learn more about some of the key storage features of Windows Server 2012 Storage Spaces Storage Spaces represent a new class of advanced virtualization enhancements to the storage stack. They allow you to pool multiple physical disk units and deliver them to your workloads as feature-rich, highly resilient and reliable storage arrays. You can use storage spaces to create storage pools - virtualized administration units that are composed of physical disk units. These storage pools enable storage aggregation, elastic capacity expansions and delegation of administration. You can also create virtual disks with associated properties that have a certain level of resilience, thin or fixed provisioning, and automatic or controlled allocation to various storage media. Offloaded Data Transfers Offloaded Data Transfers (ODX) gives you the ability to leverage your investment in external storage arrays to offload data transfers from the server to these devices. While traditional transmissions require that this data be sent through servers, ODX bypasses these intermediary stations with a token-based mechanism for reading and writing data within or between intelligent storage arrays. The network and CPU load is also reduced. SMB 3.0 support for server workloads With enhancements to the Server Message Block (SMB) protocol, Windows Server 2012 allows Hyper-V virtual machines and SQL databases to be deployed on SMB file shares. The client and server parts of Windows Server 2012 are optimized for small random I/O reads and writes to improve performance for workloads of common server applications. This - along with transparent SMB failover and clustered share volume extensions - provides you with a reliable, cost-effective solution for your server workloads. File System Extensions Windows Server 2012 introduces a new file system called Resilient File System (ReFS). ReFS is built for the future with significant improvements in data integrity, availability and scalability. Additionally, the NTFS file system has been enhanced to maintain data integrity even when using cost-effective industry standard SATA drives. Online damage checking and repair capabilities reduce the need to take volumes offline. Significant improvements in Chkdsk allow you to identify and isolate problems with specific files. This ensures that parts of the volume can only be taken offline for a few seconds instead of several hours or whole days as before. Storage management To bring all these storage functions together and simplify the management of increasingly complex storage environments, Windows Server 2012 introduces a new, unified interface. It uses Windows Management Instrumentation (WMI) for comprehensive management of physical and virtual storage and can include external storage subsystems from third-party vendors. The unified interface allows the use of WMI to provide IT professionals with a rich Windows PowerShell scripting experience and thus a broad set of solutions. It also enables management applications to use a single Windows API to manage different types of storage. Storage management providers or standards-based protocols like the Storage Management Initiative Specification make it possible. In addition, you can use the new File and Storage Services dashboard to manage storage across your entire data center through the Server Manager. Scope of delivery: - Original license key for telephone/online activation of Microsoft WindowsStorage Server 2012 R2 StandardGerman. - Verified Highspeed Downloadlink to get the software fast & secure, alternatively it can be downloaded directly from Microsoft. - invoice with declared VAT - Instructions for easy installation. Note: This offer does not include a product key sticker (COA label) This offer is aimed at private individuals as well as companies, business customers, a...
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Similar search terms for Complexity:
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Can complexity be objectively measured?
Complexity can be objectively measured to some extent, especially in the context of information theory and algorithmic complexity. In information theory, complexity can be measured using metrics such as entropy and Kolmogorov complexity, which provide objective measures of the amount of information or computational resources required to describe a system. However, when it comes to measuring the complexity of real-world systems or phenomena, there is often a subjective element involved, as different observers may prioritize different aspects of complexity. Therefore, while certain aspects of complexity can be objectively measured, the overall assessment of complexity may still involve some degree of subjectivity.
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What is the complexity of Mergesort?
The time complexity of Mergesort is O(n log n) in the worst-case scenario, where n is the number of elements in the array. This complexity arises from the fact that Mergesort divides the array into halves recursively and then merges them back together in sorted order. The space complexity of Mergesort is O(n) due to the need for additional space to store the divided subarrays during the sorting process. Overall, Mergesort is an efficient sorting algorithm that performs well on large datasets.
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How can one get rid of complexity?
One can get rid of complexity by breaking down the problem or situation into smaller, more manageable parts. This can help to identify the root causes of the complexity and address them individually. Additionally, simplifying processes, communication, and decision-making can help reduce complexity. It is also important to prioritize and focus on the most important aspects, while letting go of unnecessary details. Finally, seeking input and collaboration from others can provide fresh perspectives and help to streamline complex situations.
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What is the complexity of composing two functions?
Composing two functions has a complexity of O(1), as it involves simply applying one function to the output of the other. The time complexity does not depend on the size of the input, as the functions are applied sequentially. Therefore, the complexity of composing two functions is constant and does not increase with the size of the input.
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What are the Landau symbols for the time complexity?
The Landau symbols for time complexity are commonly used to describe the upper and lower bounds of an algorithm's running time. The most commonly used Landau symbols for time complexity are O (big O) for upper bound, Ω (big omega) for lower bound, and Θ (big theta) for both upper and lower bounds. These symbols are used to express the growth rate of an algorithm's running time in terms of the input size. For example, if an algorithm has a time complexity of O(n^2), it means that the running time of the algorithm grows no faster than n^2 as the input size increases.
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What are the Big O notations for time complexity?
The Big O notations for time complexity are used to describe the upper bound on the growth rate of an algorithm's running time as the input size increases. Some common Big O notations include O(1) for constant time complexity, O(log n) for logarithmic time complexity, O(n) for linear time complexity, O(n^2) for quadratic time complexity, and O(2^n) for exponential time complexity. These notations help in analyzing and comparing the efficiency of different algorithms.
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How do you determine the complexity of a function?
The complexity of a function can be determined by analyzing its time and space requirements. This can be done by examining the number of operations the function performs and the amount of memory it uses. Additionally, the complexity can be influenced by the size of the input data and the efficiency of the algorithm used in the function. By considering these factors, one can determine the complexity of a function, which is often expressed using Big O notation.
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What does the complexity class NP mean in computer science?
In computer science, the complexity class NP (nondeterministic polynomial time) refers to a set of decision problems that can be verified in polynomial time. This means that given a potential solution to a problem, it can be efficiently checked to determine if it is correct. However, finding the solution itself may not be efficient, as it may require trying all possible solutions. NP problems are often associated with the concept of nondeterministic Turing machines, which can guess the correct solution and then verify it in polynomial time. The question of whether NP problems can be solved in polynomial time is one of the most important open problems in computer science, known as the P vs. NP problem.
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What is the complexity of semiconductor technology or microsystems technology?
The complexity of semiconductor technology or microsystems technology is high due to the intricate processes involved in designing, manufacturing, and integrating tiny electronic components. These technologies require precise control at the nanoscale level, involving complex materials, intricate fabrication techniques, and sophisticated equipment. Additionally, the rapid pace of innovation and the need for continuous improvement in performance and miniaturization add to the complexity of these technologies. As a result, semiconductor and microsystems technology require significant expertise, resources, and investment to develop and produce advanced electronic devices.
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Does the number of chromosomes determine the complexity of a species?
The number of chromosomes does not directly determine the complexity of a species. Complexity is influenced by a variety of factors such as genetic diversity, gene regulation, and environmental interactions. While some species with more chromosomes may have more genetic material to work with, it is the organization and expression of these genes that ultimately determine complexity. Therefore, the number of chromosomes is just one aspect of a species' overall genetic makeup and does not solely dictate its complexity.
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How can one determine the complexity class of an algorithm code?
One can determine the complexity class of an algorithm code by analyzing its time and space complexity. Time complexity refers to the amount of time an algorithm takes to run as a function of the input size, while space complexity refers to the amount of memory an algorithm uses. By analyzing the number of operations performed in the code and how they scale with the input size, one can determine the algorithm's complexity class, such as O(1), O(log n), O(n), O(n^2), etc. Tools like Big O notation can be used to express the complexity class of an algorithm code in a concise and standardized way.
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Why does the runtime of the contains method in HashSets have O(1) complexity?
The runtime of the contains method in HashSets has O(1) complexity because it uses a hashing function to map elements to their corresponding buckets in the underlying array. This allows for constant time access to elements, as the hashing function directly computes the index where the element should be located. As a result, regardless of the size of the HashSet, the time it takes to check for the presence of an element remains constant, leading to O(1) complexity.
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