Microsoft SQL Server 2008 / R2 stop support
Extended Support Microsoft 2008 version and the 2010 version of the database has come to an end. Microsoft responded that for many customers, it is time to migrate to the cloud.
Microsoft's flagship operating advent of SQL Server database has been more than 25 years. This means that the platform continues to usher in innovation, but also contributed to the deep-rooted old version, with the end of Mainstream Support and Extended Support approaching, the attendant challenges. Tomorrow, with the SQL Server 2008 version and the version 2008R2 farewell Extended Support, will usher in another sign of entering new stage major events. But Azure cloud and the upcoming July 24 release of SQL Server 2019 public preview of Big Data Clusters of people should be relieved.
SQL Server 2008/2008 R2 is a direct successor of the 2005 edition version (2005 edition is a major revision of the platform), parted ways with the original code base. 2008R2 when released in 2010 (originally developed with Microsoft SQL Server, Sybase same year acquired by SAP), which comprises a self-report, Extract Transform and Load (ETL) and master data management and many other components. 2008R2 also introduced the Power Pivot, it is now the Power BI originator. In fact, 2008R2 is known as "BI updated version" (BI refresh) within Microsoft.
Clouds in power, mixed-mode have the opportunity to
After about a decade, it is time to say goodbye to these versions to support the extension. Microsoft is to take this opportunity to encourage customers to migrate to the cloud. Microsoft's operating databases and Wisam Hirzalla block chain director of product marketing, Azure SQL Database ( "SQL DB") is actually compatible with the cloud version of SQL Server. Although some SQL DB to run in a multi-tenant environment, but Microsoft also offers a variety of special versions.
For example, Azure SQL Database hosting Microsoft provides examples of so-called "evergreen SQL" - in other words, constantly updated and upgraded technology, Microsoft entirely by the company management. It can also be run in an isolated virtual network; Hirzalla It claims that the use of AI / machine learning algorithm to adjust and optimize the processing, threat detection, and other self-management tasks. At the same time, SQL DB Hyperscale for the SQL Server database capacity reached double-digit customer TB provides an excellent migration target, Microsoft Build Assembly SQL DB Hyperscale official version (GA), held in Seattle in May announced the release.
Microsoft Software Assurance customers enjoy services can use so-called "Azure hybrid equity" (Azure Hybrid Benefit), migrated its deployment of SQL Server to Azure virtual machines, providing local implementation of the relevant configurability and flexibility, not bring additional license fees. While the virtual machine itself to charges, in some cases on the outbound data fees, but those fees supersedes any routine customers to buy their own cost, power, cooling, management and maintenance of the hardware required. SQL on Azure virtual machine implementation also enjoy a three-year extension of free security update service.
Azure SQL also allows users to enjoy automatic patch, automatic backup and a new license management options, and provides the benefits of PaaS is IaaS SQL Server implementation.
Meanwhile, the return of the local environment
After Microsoft released SQL Server 2008R2 four versions of (version 2012, version 2014, version 2016 and version 2017), adds support for memory tables, columns, storage and machine learning capabilities, but also adds support for Linux and Docker containers on function operation. The platform of the next local version (called SQL Server 2019) by a Big Data Clusters (BDC) feature called Apache Spark increased integration and Hadoop Distributed File System (HDFS) mechanism. SQL Server 2019 BDC launch non-public preview version for several months, but Microsoft is hereby declared public preview release of the technology will begin July 24.
This is exciting, but one might ask: Hadoop in the technology sector after the stunning debut ten years, why Microsoft is only now that the big data technologies integrated into SQL Server is appropriate to implement the lake now more and more data to the cloud. I raised these issues to Hirzalla, he gives the answer I think reasonable.
The new version of the inverse or opposite direction of unified version?
First, SQL Server team to think big data is an unavoidable reality, but the operational database and cut off from BI implementation. Microsoft's words to explain, it will often by the large amounts of data with Hadoop and Spark management often separated by high-value data in a relational database and enterprise BI platform management open.
SQL Server 2019 BDC seeks to integrate enterprise "site data" in two parts, so that each part can take advantage of the other part. SQL Server instances and Spark worker nodes in one place will allow both engines can operate on the same data storage Parquet and other open data formats efficiently. The SQL Server 2019 enhanced PolyBase technology will allow the engine to connect to high-capacity data, and combined with transaction data and data marts based on SQL Server.
When it comes to cloud and local deployment, the line is also very vague. That is because SQL Server 2019 BDC container based on the Linux compatibility mechanism introduced in SQL Server 2017, deployed entirely on Kubernetes (aka K8s). In turn, this will facilitate the new version of SQL Server K8 easy to deploy to the local cluster and cloud environments, including but not limited to Azure Kubernetes Service (AKS). Spark and HDFS install a matter of course, greatly simplifies the deployment of these technologies. As I said, these are reasonable answers to some frequently asked questions.
More changes to SQL Server ......
SQL Server quite unexpected aspects of a people is that it is a few decades ago with the launch of eternal database development concepts and models remain compatible, but also integrates new technology, making them easy to be used by SQL Server professionals. But to do this, Microsoft does require existing customer base moved out of the old version.
Now customers are using SQL Server 2008 and 2008R2 when the eviction of these databases. For these customers, Microsoft has pointed out the direction of migration, multiple routes child, several of which path leads to the cloud.
Official website News:
https://support.microsoft.com/zh-cn/help/4345020/announcing-new-options-for-sql-server-and-windows-server-2008-end-of-s
SQL Server Server and Windows 2008 termination support for new options ( 2018 Nian 7 Yue 12 days) to return to the support lifecycle home page date: 2018 Nian 7 Yue 12 day is ending support for the following products: on the Server SQL 2008 and 2008 R2 will support 2019 Nian 7 Yue 9 end date . Server for Windows 2008 and 2008 R2 will support 2020 Nian 1 Yue 14Ended. Termination of support means that will no longer provide security updates regularly. Because cyber attacks increasingly complex and frequent, running on an unsupported version of the application and data may produce significant security risk and compliance risk. Strongly recommends that customers upgrade to the latest version for better performance, efficiency and general security update. We announced the launch of SQL Server Server and Windows 2008 and 2008 extended security update R2 to provide support to the need for more time to customers. This additional service options will help extend the termination deadline after the end of support for workload protection for three years, so as to migrate to Server SQL 2017 and Server Windows 2016 to provide more time to support the current version. Extended security update will also be included in Azure virtual machine instead of an extra fee, allowing customers to re-host its SQL Server and Windows Server Azure, in 2008 and 2008 R2 workloads, without changing the application code. Go for details about the extended security update here. For detailed guidance and resources, visit the termination Support Resource Center: