Experience SQL Server 2016 in Microsoft Luxembourg’s Intelligent Office

The SQL Server Luxembourg User Group invites you to join us at our next event, in Microsoft’s new Intelligent Offices, for Tom van Zele’s SQL 2016 presentation. Tom’s road-show session highlights SQL Server 2016’s new features: End-to-end mobile BI, advanced analytics, cloud integration and lots of other new stuff will be addressed.

Migrating Databases to Azure SQL Database

Tim Radney of SQLskills discusses strategy and some available tools for helping migrate your databases to Azure SQL Database.

What is Azure SQL Data Warehouse?

Azure SQL Data Warehouse is a cloud-based, scale-out database capable of processing massive volumes of data, both relational and non-relational. Built on our massively parallel processing (MPP) architecture, SQL Data Warehouse can handle your enterprise workload.

Top 5 things you MUST know about PowerPivot for Excel

Although quite a lot has been written about PowerPivot and its features, there are certain aspects about PowerPivot that may not be obvious, especially to someone who is new to the tool. This articles discusses five such items.

What's New in SQL Server Reporting Services 2016

Koen Verbeeck provides an overview of the new features and capabilities found in SQL Server Reporting Services 2016.

Change the Collation Setting for Clustered SQL Server 2014 Instance

In this post I will show a procedure to change collation settings of SQL Server 2014 cluster instance.

5 Advantages of Load Balancing For IT Companies

As an IT company, it is crucial that you maintain uptime and monitor the performance of various processes. By making database load balancing a key element, you can ensure that your processes and websites run smoothly. Tony Branson explains.

Byte Me: Wrong turn

Configuring Integration Services in a SQL Server 2016 Cluster

In this post I will show a procedure to configure Integration Services in a SQL Server 2016 Cluster.

Why Would I Ever Need to Partition My Big ‘Raw’ Data?

Whether you are running an RDBMS, or a Big Data system, it is important to consider your data-partitioning strategy. As the volume of data grows, so it becomes increasingly important to match the way you partition your data to the way it is queried, to allow 'pruning' optimisation. When you have huge imports of data to consider, it can get complicated. Bartosz explains how to get things right; not perfect but wisely.