Featured Database Articles
Recently, we have been exploring the ability to administer Azure SQL Database by leveraging REST APIs invoked from PowerShell-based scripts. Such an approach offers more flexibility, facilitating functionality that is not directly exposed in the PowerShell cmdlets. We have already illustrated these advantages in the context of managing Azure SQL Server instances - now it is time to show how similar benefits can be realized when dealing directly with Azure SQL Databases.
Greg Larsen shows you a number of different ways to use the UPDATE statement to modify the data in your SQL Server tables.
Skipping DML for one or more schemas isn't as simple as you might think. Read on to see what steps are necessary to avoid ORA-02149 errors and keep the logical standby synchronized.
Oracle can exhibit 'strange' behavior with the sql_id values in V$SESSION, but just because the sql_id is NULL that doesn't mean Oracle isn't processing a long-running statement.
In Oracle releases 10.2.0.x and later join processing can be made more efficient by the use of Bloom filters, primarily to reduce traffic between parallel query slaves. Read on to learn more.
It’s difficult to simply 'drop' big data applications into an existing IT infrastructure and expect to run smoothly. In addition to energy and cooling requirements for new hardware to support the new big data application, other IT areas need to prepare. The major factors that determine whether enhancements will be needed to existing applications include large data storage needs, larger data transmission capacity, and the demands these will place on existing hardware and software.
Big Data implementations are more than just lots of data. Of equal importance is the analytics software used to query the data. Analyzing business data using advanced analytics is common, especially in companies that already have an enterprise data warehouse. It is therefore only natural that your big data application must be integrated with the existing warehouse.
Big data applications do not need the same infrastructure support teams as do more common applications. As the enterprise embraces big data, management assumes that staff sizes will decrease. What should be done with those unneeded technologists? One answer: convert them into technology consultants that collaborate and coordinate with the lines of business. In other words, give them customer-facing roles.