Featured Database Articles
Arshad Ali discusses what filtered statistics are and what's new in regards to statistics in SQL Server 2012.
While a diminished level of control is certainly a factor to consider when contemplating migration of on-premises systems to Microsoft Azure, especially when dealing with PaaS resources such as Azure SQL Database, you have a range of techniques at your disposal that allow you to control and monitor both the status of and access to your Azure-resident services. One of these techniques is SQL Database auditing.
Having your data returned to you in some meaningful sorted order is important sometimes. If you don’t tell SQL Server you want to order the results of a SELECT statement then there is no guarantee that your result set will come back in a particular order. Greg Larsen explores how to return an order result set by using the ORDER BY clause.
Oracle provides several levels of compression, with BASIC compression requiring no additional license cost. Read on to find out how this level of compression works and what you may expect when using it.
Using parallel query can improve performance in some cases but AWR reports can report too much elapsed time when they are used. Read on to see why and how you can get the actual elapsed time in those cases.
Some problems can appear to be more difficult than they are. Read on to see how changing how you think about a problem can open up new ways to solve it.
Big data is everywhere, and most large IT enterprises have installed one or more big data applications. These applications provide fast access to large stores of data, usually customer or sales data. Your technical staff that supports these applications and the systems that analyze and consume the data didn't exist ten years ago. Who are these new IT professionals, and how should you manage them?
Your big data repository won't simply add another twelve months of data over the next year. More data is coming, more categories of data will be created, and your analytical environment must expand to fit future needs. But size alone won't be your only problem. In the rush to accumulate a sufficient amount of valuable data and implement a business analytics environment that can produce usable results, several items may have been ignored, postponed, or simply forgotten. These missing details can make or break your company in the future.
Big data software, hardware, application suites, business analytics solutions ... suddenly, it seems, IT enterprises are deluged with vendor offerings that solve problems it didn't know it had. As you dive into what will most likely be your largest IT project of the year, ensure that you have planned and budgeted for the following items that are unique to big data implementations.