Microsoft SQL Server 2019 (vNext) RC





Microsoft SQL Server 2019 (vNext) RC | 1.3 Gb


Microsoft has announced the availability of Microsoft SQL server 2019 RC. This Release Candidate has been build on previous versions which gives you a choice of developmental languages and Operating Systems. The new DB Server comes with features like enable the query of other databases like Oracle, Teradata, and MongoDB directly from SQL Server. You will see a lot of new features in this version.

New Features SQL Server 2019
Big Data Clusters
The latest version simplifies big data analytics for SQL Server users. The new SQL server combines HDFS (the Hadoop Distributed Filing System) and Apache Spark and provides one integrated system. It provides the facility of data virtualization by integrating data without extracting, transforming and loading it. Big data clusters are difficult to deploy but if you have Kubernetes infrastructure, a single command will deploy your big data cluster in about half an hour.
Master Data Services (MDS)
The Silverlight support of Master Data Services is no longer required. HTML controls will now perform the same functionality.
Security
Advanced security support has been provided in the new version. It encrypts the data using secure enclaves technology. Similarly, support for security certificates has also been provided and the only user with the administrative role can alter the database.
Managed instances and hyper-scale storage
A new cloud-based architecture has been introduced called SQL Database Hyperscale. It provides about 100 TB of data storage. You can scale up and down your database. There are primary as well as secondary instances which perform the function accordingly and reduce the workload like in case of log service the primary instance writes the log to the log service and secondary instance consume the log service.
Oracle, Teradata, MongoDB
The PolyBase product which was in the earlier version too has been expanded. SQL Server can now support queries from external sources like Oracle, Teradata, MongoDB which as a result increases the flexibility of the SQL server
Azure Data Studio for SQL Server
Azure data studio allows you to quickly visualize your data based on its built-in features. It is a modern development environment which helps you with data development and integration tasks.
SSMS 18.0
SQL Server Management Studio has also recently been released which provide support for SQL server 2019. It has been ported to Visual Studio 2017 isolated shell. Some bug fixes like backup, restore, attach has been introduced while some features have been deprecated like Database Diagram, TSQL Debugger, OSQL.exe, Dreplay Admin UI, Configuration Manager tools, SQL Server Configuration, and Reporting Server Configuration Manager
Limitations
Functional Limitation
The additional security brings some limitation s with it. You cannot perform any mathematical operation on the encrypted data. The query will only be accepted if it has equality values like "where 1=1".
Cost Competitive Migration
With some additional features come a huge cost. Deploying existing workloads on a new one is not an easy task. A practical solution for cost-competitive migration needs to be provided for migration from the old version to the new one.
Composite Partitioning
SQL Server still does not have support for composite partitioning which combines basic data distribution methods like range to or range to hash partitioning.
SQL Server 2019 continues to push the boundaries of security, availability, and performance for all your data workloads, now with new compliance tools, higher performance on the latest hardware, and high availability on Windows, Linux and containers. Enhanced PolyBase enables you to query other databases like Oracle, Teradata, and Mongo DB directly from SQL Server without moving or copying the data. And for the first time, SQL Server 2019 goes beyond relational database withSpark and Hadoop Distributed File System (HDFS) in the box-for big data capabilities built-in.
Azure Data Studio provides customers with an optimum experience, bringing SQL and Spark together, providing customers seamlessly experience. Customers can run Spark jobs in the integrated Notebook experience or run SQL Server queries, bridging the gap between big data and the relational world. SQL Server 2019 is deployed on Kubernetes providing the flexibility to run anywhere.
In this video, you will get to experience bringing SQL and Spark together as a unified data platform running on Kubernetes and learn how:

- Data virtualization integrates data from disparate sources, locations and formats, without replicating or moving the data, to create a single "virtual" data layer
- Data Lake - SQL 2019 provides SQL and Spark query capabilities over a scalable storage, across relational and big data
- Data Mart provides an ability to scale out storage for super-fast performance over big data or data from other external sources



Microsoft Corporation, leading developer of personal-computer software systems and applications. The company also publishes books and multimedia titles, offers e-mail services, and sells electronic game systems, computer peripherals (input/output devices), and portable media players. It has sales offices throughout the world.
Product: Microsoft SQL Server
Version: 2019 (vNext) RC
Supported Architectures: x64
Website Home Page :
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Language: english
System Requirements: PC *
Supported Operating Systems: *
Size: 1.3 Gb

System Requirements
- .NET Framework 4.6 or higher is required for this version of SQL Server.
- A minimum of 6 GB hard disk space is required but it will vary according to the components of SQL server you install.
- Minimum 1 GB memory is required but 4 GB memory is recommended for better performance
- SQL Server supports 64-bit processors. It no longer supports 32-bit processors.


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