What is the Microsoft SQL Server 2016?
The Microsoft SQL Server supports the mission-critical applications and big solutions of data, and there is no need to buy expensive add-ons and appliances that are high-ended. With the help of the SQL Server 2016, you can build intelligent, mission-critical applications with the use of a scale, platforms of hybrid databases which has everything in it starting from memory performance and database analytics that are advanced. The release of the SQL Server 2016 has added new security features, capabilities of querying, Clod integration and Hadoop, R analytics, and many more along with many enhancements and improvements. Using the SQL Server 2016, the user can configure multiple temp DB files of the database. With the release of the SQL Server 2016, Microsoft announced that the Developer Edition of the SQL Server 2016 will be a free one and the users can download it easily. Just for the sake of taking advantage of it being free, the user will need to be a member of Microsoft's Visual Studio Essentials program. Based on the application needs, the installation requirements will vary. The SQL Server 2016 components that the user will download also is highly dependent on the specific requirements. SQL Server the standard edition of it is responsible to deliver basic data and business intelligence for the departments of organizations that are small to run applications and for the support of common tools for the development with minimal IT resources. The launch of the SQL Server is well equipped with safety, database analytics, and memory. Smart application utilization can be contrasted using SQL Server 2016.
Microsoft SQL Server 2016 Great Features
Consistently Encrypted: Consistently Encrypted or always Encrypted. The process of encryption works but it cannot be implemented everywhere as some companies do not or better said cannot implement it. The level encryption, encryption at rest, and the encryption in transit have always been supported by the SQL Server. Better and easier encryption is given by the push from Microsoft towards the Azure which makes the security story a better one.
Stretch Database: How cheap the storages are in the common idiom in these years. It may be cheap to buy a 3TB drive from Amazon if you are busying the enterprise-class SAN storage or the SSD enterprise. The basic Stretch Databases belong to the part of the table. When these tables are queried, it is known by the query master which rows take place in the Azure. The user is only charged for the SQL Database Azure Blog storage which is generally cheaper than the storage of the enterprise.
Dynamic Data Masking: It provides an abysmal variant of the private information of the user to the people and it allows only the users that are authorized to see the rules that are specifying masks. It is mainly used for the information of the credit cards and databases that look similar.
Polybase: in the last few years, the Hadoop and the Big Data have been in the range, where the Hadoop is considered to be scalable, cost-effective, and a great way to keep a huge amount of data and information. Polybase was introduced by Microsoft which is a SQL Server which is a connector that connects the Hadoop to the warehouse data appliance Analytics Platform System in the year 2015. This great feature will benefit the user only if the data processing which involves dealing with the huge files is regular and it can be stored in the Azure Blob Storage and the Hadoop.
Row Level Security: This is a feature that has been present in all the databases for many years, but it has lacked from the SQL Server and to provide row-level security to its users. This restricts the abilities of the users and their actions as to what data can be seen by the user based on the functions provided. Row Level Security
JSON Support: Supporting the direct querying to the Hadoop, the SQL Server 2016 has added support for the Web applications such as the JavaScript Object Notation or the JSON. This support has been added by many larger databases in recent years and it was a trend towards the Web APIs with the use of JSON being increased rapidly. The implementation of the SQL2016 is similar to the XML support and the OPENJSON that provides the ability to JSON the data into tables quickly.
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