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How often does Nioh save?
Nioh features an autosave system that triggers at various points throughout the game, such as when you complete a mission, rest at a shrine, or defeat a boss. Additionally, players can manually save their progress by using the "Offering" option at shrines. This allows for frequent saving opportunities, ensuring that players do not lose significant progress if they were to die or quit the game. **
Is it worth playing Nioh 2?
Whether or not it's worth playing Nioh 2 depends on your preferences as a gamer. If you enjoy challenging action RPGs with deep combat mechanics and a rich, detailed world inspired by Japanese history and mythology, then Nioh 2 is definitely worth playing. The game offers a high level of difficulty that can be rewarding for players who enjoy mastering complex gameplay systems. However, if you prefer more casual or story-driven experiences, you may find Nioh 2 to be too challenging or lacking in narrative depth. Ultimately, it's a game that caters to a specific audience of players who enjoy its unique blend of intense combat and intricate world-building. **
Similar search terms for Nioh
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Microsoft SQL Server 2022 StandardMicrosoft SQL Server 2022 Standard Get unrivalled performance, security and flexibility with Microsoft SQL Server 2022 Standard. Designed to handle your critical business applications and complex workloads, SQL Server 2022 Standard offers a reliable and scalable data management platform. Main features: High Performance Optimises database performance with advanced analysis and query capabilities, ensuring fast response times for even the most demanding workloads. Advanced Security Protect your data with advanced security measures, including built-in encryption, strong authentication and granular access controls. High Availability and Disaster Recovery : Ensure business continuity with high availability solutions such as failover clustering, database mirroring and online backup. Facilitated Management and Monitoring It uses integrated tools for managing and monitoring database performance, simplifying maintenance and optimisation. Integration with Cloud Services Leverages the flexibility of the cloud with hybrid deployment options, allowing easy migration and scalability to the cloud. Support for Big Data : Easily integrate your relational data with unstructured data to obtain a complete and in-depth view of your business information. Compatibility and Flexibility It supports a wide range of programming languages, platforms and development tools, offering the flexibility to adapt to your company's specific needs. Microsoft SQL Server 2022 Standard is the ideal choice for companies needing a powerful, secure and versatile data management platform. Simplify your data management and improve operational efficiency with SQL Server 2022 Standard. How to download, install and activate SQL Server 2022 Standard: a step-by-step guide43,22 £*Shipping: 0,00 £Secure redirect to the provider
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Microsoft Windows SQL Server 2022 StandardSQL Server 2022 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems. SQL Server 2022 features: SQL Server Database Engine. SQL Server Database Engine includes the Database Engine, the core service for storing, processing, and securing data, replication, full-text search, tools for managing relational and XML data, in database analytics integration, and PolyBase integration for access to heterogeneous data sources, and Machine Learning Services to run Python and R scripts with relational data. Analysis Services. Analysis Services includes the tools for creating and managing online analytical processing (OLAP) and data mining applications. Reporting Services. Reporting Services includes server and client components for creating, managing, and deploying tabular, matrix, graphical, and free-form reports. Reporting Services is also an extensible platform that you can use to develop report applications. Integration Services. Integration Services is a set of graphical tools and programmable objects for moving, copying, and transforming data. It also includes the Data Quality Services (DQS) component for Integration Services. Master Data Services. Master Data Services (MDS) is the SQL Server solution for master data management. MDS can be configured to manage any domain (products, customers, accounts) and includes hierarchies, granular security, transactions, data versioning, and business rules, as well as an Add-in for Excel that can be used to manage data. Machine Learning Services (In-Database). Machine Learning Services (In-Database) supports distributed, scalable machine learning solutions using enterprise data sources. In SQL Server 2016, the R language was supported. SQL Server 2022 (16.x) supports R and Python. Data Virtualization with PolyBase. Query different types of data on different types of data sources from SQL Server. Azure connected services. SQL Server 2022 (16.x) extends Azure connected services and features including Azure Synapse Link, Microsoft Purview access policies, Azure extension for SQL Server, pay-as-you-go billing, and the link feature for SQL Managed Instance. The following features were improved in SQL Server 2022: Analytics Availability Security Performance Query Store and intelligent query processing Management Platform Language SQL Server 2022 Standard edition delivers basic data management and business intelligence database for departments and small organizations to run their applications and supports common development tools for on-premises and cloud, enabling effective database management with minimal IT resources.644,90 £*Shipping: 0,00 £Secure redirect to the provider
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Microsoft Windows SQL Server 2017 StandardSQL Server 2017 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems. SQL Server 2017 (15.x) introduces Big Data Clusters for SQL Server. It also provides additional capability and improvements for the SQL Server database engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux, and SQL Server Master Data Services. SQL Server 2017 features: SQL Server Database Engine. SQL Server Database Engine includes the Database Engine, the core service for storing, processing, and securing data, replication, full-text search, tools for managing relational and XML data, in database analytics integration, and PolyBase integration for access to Hadoop and other heterogeneous data sources, and Machine Learning Services to run Python and R scripts with relational data. Analysis Services. Analysis Services includes the tools for creating and managing online analytical processing (OLAP) and data mining applications. Reporting Services. Reporting Services includes server and client components for creating, managing, and deploying tabular, matrix, graphical, and free-form reports. Reporting Services is also an extensible platform that you can use to develop report applications. Integration Services. Integration Services is a set of graphical tools and programmable objects for moving, copying, and transforming data. It also includes the Data Quality Services (DQS) component for Integration Services. Master Data Services. Master Data Services (MDS) is the SQL Server solution for master data management. MDS can be configured to manage any domain (products, customers, accounts) and includes hierarchies, granular security, transactions, data versioning, and business rules, as well as an Add-in for Excel that can be used to manage data. Machine Learning Services (In-Database). Machine Learning Services (In-Database) supports distributed, scalable machine learning solutions using enterprise data sources. In SQL Server 2016, the R language was supported. SQL Server 2017 (15.x) supports R and Python. Machine Learning Server (Standalone). Machine Learning Server (Standalone) supports deployment of distributed, scalable machine learning solutions on multiple platforms and using multiple enterprise data sources, including Linux and Hadoop. In SQL Server 2016, the R language was supported. SQL Server 2017 (15.x) supports R and Python. SQL Server 2017 Standard edition delivers basic data management and business intelligence database for departments and small organizations to run their applications and supports common development tools for on-premises and cloud, enabling effective database management with minimal IT resources.85,90 £*Shipping: 0,00 £Secure redirect to the provider
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Microsoft Windows SQL Server 2019 StandardMicrosoft sql server 2019 - features and functionality SQL Server 2019 (15.x) represents an advancement over its previous versions, expanding the SQL Server platform with a wide range of choices across development languages, data types, on-premises or cloud environments and operating systems. It also introduces Big Data Clusters for SQL Server, offering additional features and enhancements for several components, including SQL Server Database Engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux and SQL Server Master Data Services. Key features of Windows sql server 2019 include: SQL Server Database Engine: The Database Engine is the central service for storing, processing and securing data. It includes replication, full-text search, relational and XML data management tools, integration with analytical databases and PolyBase for accessing Hadoop and other heterogeneous data sources, as well as Machine Learning Services for running scripts in Python and R on relational data. Analysis Services: Analysis Services provides tools for creating and managing online analytical processing (OLAP) and data mining applications, supporting advanced analysis. Reporting Services: Reporting Services provides server and client components for developing, managing and distributing reports in various formats, including tabular, matrix, graphical and freeform. It is also an extensible platform that can be used for the development of reporting applications. Integration Services: Integration Services consists of a set of graphical tools and programmable objects for transferring, copying and transforming data. It also includes Data Quality Services (DQS) to improve data integrity. Master Data Services: Master Data Services (MDS) is SQL Server's solution for master data management, supporting various domains such as products, customers and accounts. It offers hierarchy management, granular security, transactions, data versioning and business rules, with an add-in for Excel for simplified data management. In-database Machine Learning Services: In-database Machine Learning Services allows distributed and scalable machine learning solutions to be implemented, leveraging corporate data. It supports R and Python, extending the capabilities introduced in SQL Server 2016. Machine Learning Server (Standalone): Machine Learning Server (standalone) facilitates the deployment of scalable machine learning solutions on different platforms, including Linux and Hadoop, supporting the R and Python languages as was already the case in SQL Server 2016. The SQL Server 2019 Standard edition provides basic data management and business intelligence database for departments and small organisations to run applications and supports common development tools for local and cloud environments, enabling effective database management with minimal IT resources. Comparison with other Windows Server versions: SQL Server Standard 2019 unlike other Windows Server...119,90 £*Shipping: 0,00 £Secure redirect to the provider
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What is the SQL query for the Terra database?
The SQL query for the Terra database will depend on the specific task or information you are trying to retrieve. However, a basic SQL query to retrieve all data from a table in the Terra database would look like this: ```sql SELECT * FROM table_name; ``` Replace "table_name" with the actual name of the table you want to retrieve data from. If you want to retrieve specific columns or apply filters, you can modify the query accordingly using the SELECT and WHERE clauses. **
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What is the SQL query for a SQLite database?
The SQL query for a SQLite database is similar to other SQL databases. Here is an example of a simple SQL query for a SQLite database: ``` SELECT * FROM table_name; ``` This query selects all columns from the specified table in the database. Other common SQL queries for SQLite include INSERT, UPDATE, DELETE, and CREATE TABLE. **
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What is database normalization?
Database normalization is the process of organizing data in a database in a way that reduces redundancy and dependency. It involves breaking down a database into smaller, more manageable tables and defining relationships between them. The goal of normalization is to minimize data redundancy, improve data integrity, and make the database more efficient. There are different levels of normalization, known as normal forms, with each level addressing specific issues related to data organization. **
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Is Nioh 2 the best Souls game ever?
As an AI, I don't have personal opinions, but I can provide information. Whether Nioh 2 is the best Souls game ever is subjective and depends on individual preferences. Nioh 2 offers a unique blend of challenging combat, deep customization, and a rich Japanese folklore-inspired world. Some players may find it to be the best Souls game due to its refined mechanics and engaging gameplay, while others may prefer the original Dark Souls or Bloodborne for their own reasons. Ultimately, the title of "best" Souls game is a matter of personal taste. **
Which game is better, Nioh 2 or Wo Long?
It ultimately depends on personal preference as both games offer unique gameplay experiences. Nioh 2 is a challenging action RPG with deep combat mechanics and a rich story inspired by Japanese mythology. On the other hand, Wo Long is a fast-paced action game with a focus on martial arts and Chinese mythology. Players who enjoy intricate combat systems and a dark, immersive world may prefer Nioh 2, while those who prefer fluid, acrobatic combat and a vibrant setting may lean towards Wo Long. **
Which game is harder: Dark Souls 3 or Nioh?
The difficulty of Dark Souls 3 and Nioh can vary depending on individual playstyles and preferences. However, generally speaking, Dark Souls 3 is often considered to be more challenging due to its emphasis on precise timing, strategic combat, and punishing difficulty. Nioh, on the other hand, offers a more fast-paced combat system with a greater emphasis on weapon stances and combos, which some players may find more accessible. Ultimately, both games provide a tough challenge for players looking for a demanding gaming experience. **
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Nioh 2 (PS4)Fight to survive in this brutally savage masocore action role-playing game unleash your inner demon to Wield the devastating powers of the supernatural Yokai discover a revamped combat system with new weapons and skills journey through the mysterious dark realm - The demonic home of the Yokai play with friends in co-op online multiplayer modes for up to three players20,00 £*Shipping: 0,00 £Secure redirect to the provider
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PlayStation The Nioh Collection - PS5 Game, Used - Good.gadcet-pdp{--g-green:#00a651;color:#1f2430;line-height:1.55;font-size:inherit;max-width:760px}.gadcet-pdp>*:first-child{margin-top:0}.gadcet-pdp p{margin:0 0.9em}.gadcet-pdp h3{font-size:1.05em;font-weight:600;color:#11161f;margin:1.4em 0.5em;padding-left:.5em;border-left:3px solid var(--g-green);border-radius:0;line-height:1.3}.gadcet-pdp ul{list-style:none!important;margin:0 0.9em;padding:0!important}.gadcet-pdp ul li{position:relative;padding:.1em 0.1em 1.5em;margin:0}.gadcet-pdp ul li::before{content:"";position:absolute;left:.16em;top:.45em;width:.36em;height:.66em;border:solid var(--g-green);border-width:0.14em.14em 0;transform:rotate(45deg)}.gadcet-pdp table{width:100%;border-collapse:collapse;margin:.3em 0 1em;font-size:.95em;border:1px solid #e7e9ee!important;border-radius:8px;overflow:hidden}.gadcet-pdp table td{padding:.5em.8em;border-bottom:1px solid #eef0f4!important;vertical-align:top}.gadcet-pdp table tr:last-child td{border-bottom:0!important}.gadcet-pdp table tr:nth-child(even){background:#f7f9f8}.gadcet-pdp table td:first-child{font-weight:600;color:#454c59;width:40%}@media (max-width:600px){.gadcet-pdp table td:first-child{width:42%}} Experience the complete Nioh saga remastered for PlayStation 5, combining two challenging action RPGs with every DLC expansion. Explore a dark fantasy version of Sengoku-era Japan with fast, skill-based samurai combat, deep character progression and fearsome Yokai enemies. Key Features Includes Nioh Remastered – The Complete Edition and Nioh 2 Remastered – The Complete Edition Includes all DLC expansions for both games Supports 4K resolution on compatible displays Supports gameplay at up to 120fps in supported performance modes with a compatible display Enhanced PS5 loading for less waiting between battles Customisable weapons, armour, skills, Guardian Spirits and playstyles PS4 save data transfer support where available Benefits Enjoy the full Nioh series in one content-rich collection Build your character around aggressive, defensive or magic-focused strategies Take on demanding battles that reward timing, patience and mastery Choose between New and Used - Good condition options Specifications Title The Nioh Collection Platform PlayStation 5 Format Physical video game Genre Dark fantasy action RPG Included games Nioh Remastered – The Complete Edition and Nioh 2 Remastered – The Complete Edition Resolution support Up to 4K on compatible displays Frame rate support Up to 120fps in supported modes with a compatible display Available conditions New or Used - Good What You'll Receive One physical copy of The Nioh Collection for PS5 in your selected New or Used - Good condition. Ideal For Ideal for PS5 players who enjoy challenging action RPGs, samurai combat, loot systems, flexible character builds and dark fantasy adventures.35,00 £*Shipping: 0,00 £Secure redirect to the provider
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Microsoft SQL Server 2022 StandardMicrosoft SQL Server 2022 Standard Get unrivalled performance, security and flexibility with Microsoft SQL Server 2022 Standard. Designed to handle your critical business applications and complex workloads, SQL Server 2022 Standard offers a reliable and scalable data management platform. Main features: High Performance Optimises database performance with advanced analysis and query capabilities, ensuring fast response times for even the most demanding workloads. Advanced Security Protect your data with advanced security measures, including built-in encryption, strong authentication and granular access controls. High Availability and Disaster Recovery : Ensure business continuity with high availability solutions such as failover clustering, database mirroring and online backup. Facilitated Management and Monitoring It uses integrated tools for managing and monitoring database performance, simplifying maintenance and optimisation. Integration with Cloud Services Leverages the flexibility of the cloud with hybrid deployment options, allowing easy migration and scalability to the cloud. Support for Big Data : Easily integrate your relational data with unstructured data to obtain a complete and in-depth view of your business information. Compatibility and Flexibility It supports a wide range of programming languages, platforms and development tools, offering the flexibility to adapt to your company's specific needs. Microsoft SQL Server 2022 Standard is the ideal choice for companies needing a powerful, secure and versatile data management platform. Simplify your data management and improve operational efficiency with SQL Server 2022 Standard. How to download, install and activate SQL Server 2022 Standard: a step-by-step guide43,22 £*Shipping: 0,00 £Secure redirect to the provider
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Microsoft Windows SQL Server 2022 StandardSQL Server 2022 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems. SQL Server 2022 features: SQL Server Database Engine. SQL Server Database Engine includes the Database Engine, the core service for storing, processing, and securing data, replication, full-text search, tools for managing relational and XML data, in database analytics integration, and PolyBase integration for access to heterogeneous data sources, and Machine Learning Services to run Python and R scripts with relational data. Analysis Services. Analysis Services includes the tools for creating and managing online analytical processing (OLAP) and data mining applications. Reporting Services. Reporting Services includes server and client components for creating, managing, and deploying tabular, matrix, graphical, and free-form reports. Reporting Services is also an extensible platform that you can use to develop report applications. Integration Services. Integration Services is a set of graphical tools and programmable objects for moving, copying, and transforming data. It also includes the Data Quality Services (DQS) component for Integration Services. Master Data Services. Master Data Services (MDS) is the SQL Server solution for master data management. MDS can be configured to manage any domain (products, customers, accounts) and includes hierarchies, granular security, transactions, data versioning, and business rules, as well as an Add-in for Excel that can be used to manage data. Machine Learning Services (In-Database). Machine Learning Services (In-Database) supports distributed, scalable machine learning solutions using enterprise data sources. In SQL Server 2016, the R language was supported. SQL Server 2022 (16.x) supports R and Python. Data Virtualization with PolyBase. Query different types of data on different types of data sources from SQL Server. Azure connected services. SQL Server 2022 (16.x) extends Azure connected services and features including Azure Synapse Link, Microsoft Purview access policies, Azure extension for SQL Server, pay-as-you-go billing, and the link feature for SQL Managed Instance. The following features were improved in SQL Server 2022: Analytics Availability Security Performance Query Store and intelligent query processing Management Platform Language SQL Server 2022 Standard edition delivers basic data management and business intelligence database for departments and small organizations to run their applications and supports common development tools for on-premises and cloud, enabling effective database management with minimal IT resources.644,90 £*Shipping: 0,00 £Secure redirect to the provider
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How often does Nioh save?
Nioh features an autosave system that triggers at various points throughout the game, such as when you complete a mission, rest at a shrine, or defeat a boss. Additionally, players can manually save their progress by using the "Offering" option at shrines. This allows for frequent saving opportunities, ensuring that players do not lose significant progress if they were to die or quit the game. **
-
Is it worth playing Nioh 2?
Whether or not it's worth playing Nioh 2 depends on your preferences as a gamer. If you enjoy challenging action RPGs with deep combat mechanics and a rich, detailed world inspired by Japanese history and mythology, then Nioh 2 is definitely worth playing. The game offers a high level of difficulty that can be rewarding for players who enjoy mastering complex gameplay systems. However, if you prefer more casual or story-driven experiences, you may find Nioh 2 to be too challenging or lacking in narrative depth. Ultimately, it's a game that caters to a specific audience of players who enjoy its unique blend of intense combat and intricate world-building. **
-
What is the SQL query for the Terra database?
The SQL query for the Terra database will depend on the specific task or information you are trying to retrieve. However, a basic SQL query to retrieve all data from a table in the Terra database would look like this: ```sql SELECT * FROM table_name; ``` Replace "table_name" with the actual name of the table you want to retrieve data from. If you want to retrieve specific columns or apply filters, you can modify the query accordingly using the SELECT and WHERE clauses. **
-
What is the SQL query for a SQLite database?
The SQL query for a SQLite database is similar to other SQL databases. Here is an example of a simple SQL query for a SQLite database: ``` SELECT * FROM table_name; ``` This query selects all columns from the specified table in the database. Other common SQL queries for SQLite include INSERT, UPDATE, DELETE, and CREATE TABLE. **
Similar search terms for Nioh
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Microsoft Windows SQL Server 2017 StandardSQL Server 2017 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems. SQL Server 2017 (15.x) introduces Big Data Clusters for SQL Server. It also provides additional capability and improvements for the SQL Server database engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux, and SQL Server Master Data Services. SQL Server 2017 features: SQL Server Database Engine. SQL Server Database Engine includes the Database Engine, the core service for storing, processing, and securing data, replication, full-text search, tools for managing relational and XML data, in database analytics integration, and PolyBase integration for access to Hadoop and other heterogeneous data sources, and Machine Learning Services to run Python and R scripts with relational data. Analysis Services. Analysis Services includes the tools for creating and managing online analytical processing (OLAP) and data mining applications. Reporting Services. Reporting Services includes server and client components for creating, managing, and deploying tabular, matrix, graphical, and free-form reports. Reporting Services is also an extensible platform that you can use to develop report applications. Integration Services. Integration Services is a set of graphical tools and programmable objects for moving, copying, and transforming data. It also includes the Data Quality Services (DQS) component for Integration Services. Master Data Services. Master Data Services (MDS) is the SQL Server solution for master data management. MDS can be configured to manage any domain (products, customers, accounts) and includes hierarchies, granular security, transactions, data versioning, and business rules, as well as an Add-in for Excel that can be used to manage data. Machine Learning Services (In-Database). Machine Learning Services (In-Database) supports distributed, scalable machine learning solutions using enterprise data sources. In SQL Server 2016, the R language was supported. SQL Server 2017 (15.x) supports R and Python. Machine Learning Server (Standalone). Machine Learning Server (Standalone) supports deployment of distributed, scalable machine learning solutions on multiple platforms and using multiple enterprise data sources, including Linux and Hadoop. In SQL Server 2016, the R language was supported. SQL Server 2017 (15.x) supports R and Python. SQL Server 2017 Standard edition delivers basic data management and business intelligence database for departments and small organizations to run their applications and supports common development tools for on-premises and cloud, enabling effective database management with minimal IT resources.85,90 £*Shipping: 0,00 £Secure redirect to the provider
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Microsoft Windows SQL Server 2019 StandardMicrosoft sql server 2019 - features and functionality SQL Server 2019 (15.x) represents an advancement over its previous versions, expanding the SQL Server platform with a wide range of choices across development languages, data types, on-premises or cloud environments and operating systems. It also introduces Big Data Clusters for SQL Server, offering additional features and enhancements for several components, including SQL Server Database Engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux and SQL Server Master Data Services. Key features of Windows sql server 2019 include: SQL Server Database Engine: The Database Engine is the central service for storing, processing and securing data. It includes replication, full-text search, relational and XML data management tools, integration with analytical databases and PolyBase for accessing Hadoop and other heterogeneous data sources, as well as Machine Learning Services for running scripts in Python and R on relational data. Analysis Services: Analysis Services provides tools for creating and managing online analytical processing (OLAP) and data mining applications, supporting advanced analysis. Reporting Services: Reporting Services provides server and client components for developing, managing and distributing reports in various formats, including tabular, matrix, graphical and freeform. It is also an extensible platform that can be used for the development of reporting applications. Integration Services: Integration Services consists of a set of graphical tools and programmable objects for transferring, copying and transforming data. It also includes Data Quality Services (DQS) to improve data integrity. Master Data Services: Master Data Services (MDS) is SQL Server's solution for master data management, supporting various domains such as products, customers and accounts. It offers hierarchy management, granular security, transactions, data versioning and business rules, with an add-in for Excel for simplified data management. In-database Machine Learning Services: In-database Machine Learning Services allows distributed and scalable machine learning solutions to be implemented, leveraging corporate data. It supports R and Python, extending the capabilities introduced in SQL Server 2016. Machine Learning Server (Standalone): Machine Learning Server (standalone) facilitates the deployment of scalable machine learning solutions on different platforms, including Linux and Hadoop, supporting the R and Python languages as was already the case in SQL Server 2016. The SQL Server 2019 Standard edition provides basic data management and business intelligence database for departments and small organisations to run applications and supports common development tools for local and cloud environments, enabling effective database management with minimal IT resources. Comparison with other Windows Server versions: SQL Server Standard 2019 unlike other Windows Server...119,90 £*Shipping: 0,00 £Secure redirect to the provider
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Microsoft Windows SQL Server 2025 StandardMicrosoft SQL Server 2025 Standard is a professional-grade relational database platform designed for companies seeking a reliable, secure SQL engine ready for modern analytics and AI scenarios, without the complexity (and cost) of the Enterprise edition. General Description - SQL Server 2025 Standard offers a complete database engine for OLTP and mid-tier analytical workloads, ideal for ERP, CRM, web applications and business management. - It combines high performance, intuitive administration tools and native integration with the Microsoft ecosystem, including hybrid capabilities with Azure and Microsoft Fabric. Key features of the Standard edition - Advanced relational engine with support for transactions, indexes, views, stored procedures and functions, designed for business-critical loads of small and medium-sized enterprises. - Integrated reporting, analysis and management tools (e.g. SQL Server Management Studio, Query Store, monitoring and automatic tuning capabilities) to simplify day-to-day operations. New in 2025: AI and modern data - Native support for vector data and vector search, designed for artificial intelligence scenarios, RAGs and recommendation engines directly in the database. - Better handling of JSON and semi-structured data, with new types and indexes optimised for queries on JSON fields, as well as integrations with AI services and Azure OpenAI via T-SQL. Performance, scalability and availability - Engine optimisations (improved locking, enhanced Intelligent Query Processing, OPPO, optimisations for sp_executesql) for increased stability in high concurrency environments. - Enhanced Standard Edition with support for up to 32 cores and 256 GB RAM, ideal for mid-range physical or virtualised servers, with Basic Availability Groups for simple high availability. Security and Cloud Integration - Zero Trust aligned security, Microsoft Entra ID integration, advanced encryption, auditing and centralised policy management via Azure Arc. - Support for on-premises, hybrid and cloud scenarios, with direct connections to Azure, integration with Microsoft Fabric and event streaming tools for real-time data.816,90 £*Shipping: 0,00 £Secure redirect to the provider
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In Easy Steps Limited C Programming In Easy Steps 4th EditionC Programming in easy steps has an easy-to-follow style that will appeal to anyone who wants to begin programming in C, from programmers moving from another programming language, to the student who is studying C programming at school or college, or to those seeking a career in computing who need a fundamental understanding of procedural programming. C Programming in easy steps begins by explaining how to download and install a free C compiler so that you can quickly begin to create your own executable programs by copying the book's examples. You need have no previous knowledge of any programming language so it's ideal for the newcomer to computer programming. Each chapter builds your knowledge of C. C Programming in easy steps contains separate chapters on the major features of the C language. There are complete example programs that demonstrate each aspect of C together with screenshots that illustrate the output when that program has been executed. The sample code provided all has colored syntax-highlighting for clearer understanding. By the end of this book you will have gained a sound understanding of the C language and be able to write your own C programs and compile them into executable files that can be run on any compatible computer. Fully updated and revised since the third edition, which was published in April 2009.5,49 £*Shipping: 2,99 £Secure redirect to the provider
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What is database normalization?
Database normalization is the process of organizing data in a database in a way that reduces redundancy and dependency. It involves breaking down a database into smaller, more manageable tables and defining relationships between them. The goal of normalization is to minimize data redundancy, improve data integrity, and make the database more efficient. There are different levels of normalization, known as normal forms, with each level addressing specific issues related to data organization. **
-
Is Nioh 2 the best Souls game ever?
As an AI, I don't have personal opinions, but I can provide information. Whether Nioh 2 is the best Souls game ever is subjective and depends on individual preferences. Nioh 2 offers a unique blend of challenging combat, deep customization, and a rich Japanese folklore-inspired world. Some players may find it to be the best Souls game due to its refined mechanics and engaging gameplay, while others may prefer the original Dark Souls or Bloodborne for their own reasons. Ultimately, the title of "best" Souls game is a matter of personal taste. **
-
Which game is better, Nioh 2 or Wo Long?
It ultimately depends on personal preference as both games offer unique gameplay experiences. Nioh 2 is a challenging action RPG with deep combat mechanics and a rich story inspired by Japanese mythology. On the other hand, Wo Long is a fast-paced action game with a focus on martial arts and Chinese mythology. Players who enjoy intricate combat systems and a dark, immersive world may prefer Nioh 2, while those who prefer fluid, acrobatic combat and a vibrant setting may lean towards Wo Long. **
-
Which game is harder: Dark Souls 3 or Nioh?
The difficulty of Dark Souls 3 and Nioh can vary depending on individual playstyles and preferences. However, generally speaking, Dark Souls 3 is often considered to be more challenging due to its emphasis on precise timing, strategic combat, and punishing difficulty. Nioh, on the other hand, offers a more fast-paced combat system with a greater emphasis on weapon stances and combos, which some players may find more accessible. Ultimately, both games provide a tough challenge for players looking for a demanding gaming experience. **
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases. ** Note: Parts of this content were created by AI.