SQL Server 2019


SQL Server 2019 is now available to preview. Take advantage of built-in advanced analytics and data lake capabilities and easily integrate data from multiple sources, including Oracle, MongoDB, and Teradata—without moving your data via extraction, transformation, and load (ETL). Introduction to SQL Server 2019 – Click Here to Register  October 9, 2018 10:00 AM –…

Microsoft virtualization upgrade 4 Free


Microsoft virtualization upgrade 4 Free One of the greatest things about cloud-based virtualization is that updates are rolled out by providers and don’t require end users to do anything. In the latest example of this, Microsoft just drastically increased the speed of its virtual machines for almost everyone using its platform. Azure: Microsoft’s virtualization platform…

MS SQL Server Database to Azure


Microsoft Azure SQL Database, there are good reasons why outsourcing to the cloud makes sense for many applications. Microsoft Azure SQL Database provides a SQL Server-based, multi-tenant database as a service in the Azure cloud, removing IT hardware and server management tasks from your data center. Azure platform as a service (PaaS) allows you to…

SQL Azure Disaster Recovery Plan


SQL Azure Disaster Recovery Plan The allure of cost savings, greater flexibility, and more agility, many organizations are eyeing the cloud as an alternative for deploying new applications, including those with high database performance requirements, 72% annual growth rate of cloud-based databases through 2018. We are build up the setup SQL server Cluster in Azure…

SQL Server 2017 on Linux


What’s new for SQL Server 2017 running on Linux. CTP 2.0 now The CTP 2.0 release contains the following improvements and fixes: Added Log Shipping functionality for SQL Server Agent. Localized messages of mssql-conf. Linux path formatting are now compatible throughout the SQL Server Engine. But support for “C:\” prefixed paths will continue. Enabled DMV…

SQL Server 2016 – Temporal Tables


SQL Server 2016 – Temporal Tables The temporal table feature in SQL Server 2016 is a breakthrough in data warehousing, because we no longer need to do anything to store the historical values. Data warehouse by approximately 15% half of the ETL development effort which is about 30%; the other 70% is analysis, design, database…