Featured Database Articles
Microsoft introduced Azure SQL Data Warehouse, a new enterprise-class, elastic petabyte-scale, data warehouse service that can scale according to organizational demands in just few minutes. In this article, Arshad Ali discusses the different types of tables you can create in SQL Data Warehouse, how they impact performance and the best practices around them.
One of the concepts that has recently been growing rapidly in popularity, in the context of cloud technologies, is DevOps. Derived from the combination of two terms - Development and Operations, it represents a new approach to building synergy between these two seemingly conflicting types of activities. In this article, we will focus on using DevOps principles in regard to Azure SQL Database deployments. To implement some of the more common DevOps practices, we will rely on Visual Studio Team Services.
Have you ever wanted to know who made a schema change to your database? If so, read on to learn how.
The new Unified Audit Trail in Oracle 12c can provide advantages over the older audit trail. Read on to see how to configure it and how to test the policy.
With all of the metrics Oracle provides, it can be easy to want to tune a lot of areas. Read on to see why not every metric needs tuning.
Index-organized tables can provide great benefits if used properly. Read on to see how to use them and what you might run into if conditions aren't ideal.
The Database Administrator (DBA) is usually a technical professional who supports one or more hardware and software platforms that provide application solutions. However, technical details such as SQL tuning, hardware and software upgrades, and database designs tend to be tactical in nature. It is essential that the DBA also maintain a strategic outlook to get ahead of potential problems. Lockwood Lyon addresses two of these strategies: knowing application breaking points and preparing for future enhancements to big data applications.
Big data applications were once limited to hybrid hardware/software platforms. Now, recent advances are allowing applications like these to be integrated with and federated into operational systems. In particular, IBM's DB2 for z/OS Version 12 delivers new features and functions that allow the DBAs to design, define and implement very large databases and business intelligence query platforms that fulfill some big data expectations.
Your big data application needs regular extracts from your production systems. While many best practices exist for big data extract, transform and load (ETL) processes, we sometimes forget that these data-intensive procedures can affect the operational environment’s performance. Here are some suggestions to mitigate such performance risks.