microsoft access database engine 2019 deutsch

It allows us to easily combine and analyze the high-quality relational data with large amounts of big data. The Big Data Cluster, as infrastructure, allows these clusters to work in parallel, where you can read, write, and process Big Data from Transact-SQL to Spark. SQL Server 2019īig data clusters: This feature allows you to simultaneously deploy multiple, scalable clusters of SQL Server, Spark, and HDFS containers running on Kubernetes. Graph Database Capabilities: With the graph database feature in SQL Server 2017, you can now store and query complex relationships between nodes and entity edges more efficiently.Īutomatic plan correction: Automatic plan correction ensures continuous performance by detecting and resolving performance losses. Windows, Linux, and Docker containers: You now have a choice of which operating systems to use to run your SQL Server 2017 instances. Real-Time Operational Analytics: SQL 2016's real-time operational analytics prepares your system for optimal transactional performance and helps increase workload consistency by combining in-memory OLTP with in-memory columnstore. It is mainly used for managing credit card information and similar databases. This feature ensures that your important data stored in the cloud-managed database remains encrypted and protected.ĭynamic Data Masking: This feature gives an unreadable version of your confidential data to some people and only allows authorized users to view it.

SQL Server 2016Īlways Encrypted: The Always Encrypted feature protects data and enables the SQL Server to perform encrypted data operations so that the owners can protect their confidential data by using an encryption key. The differences between SQL Server 2016, 20.īelow the most important features per version of SQL Server. With the information stored in the database, companies have a reliable backup system. SQL Server is also used to increase the speed at which data is processed so that large operations can be performed with ease.

The system also allows data files to be shared between computers on the same network, a factor that increases reliability. Companies that have sensitive customer information, such as personal information, credit card information and other confidential information, benefit from strong security with SQL Server. The most obvious is that the database is used to store and manage information.

Microsoft SQL Server has many applications in the business world. In this article we explain what you can do with SQL Server, which different versions are available, what's new compared to SQL Server 20 and what the hardware and software requirements are.

SQL stands for Structured Query Language, which is a programming language designed for specific databases. It supports a wide range of transaction processing, business intelligence and analytical applications in business IT environments. Microsoft SQL Server is a relational database management system (RDBMS).

Microsoft access database engine 2019 deutsch