Featured Database Articles
Continuing his discussion of a somewhat unorthodox method of managing Azure SQL Database that involves directly invoking REST APIs, Marcin Policht shows some of the unique benefits of REST APIs by demonstrating their unique capabilities that are not available via PowerShell.
Before you can read data from your database you need to understand how to insert data into the tables in your database. There are a number of different ways to accomplish this. Greg Larsen explores the methods you can use when inserting data into a database table using the INSERT statement.
Have you ever wondered, especially in the case of a data warehousing scenario, why the transaction log file grows bigger and bigger--sometimes much bigger than your database's data files? What caused it to happen? How do you control it? How does the recovery model of a database control the growing size of the transaction log? Read on to learn the answers.
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.
You're running processes in parallel; is it really faster? Sometimes it may not be; read on to see why parallel processing may be creating more work than you'd expect.
Week numbering schemes are interesting and getting the starting date based on that number is even more so. Read on to see what schemes there are and if you can, indeed, get the starting date you expect.
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.
Technical support teams usually support familiar hardware and software configurations. Specialization in particular combinations of operating systems and database management software is common, and this allows some team members to gain in-depth experience that is extremely valuable in an enterprise IT setting. How has big data changed this paradigm?