How Precise for Oracle Database can help you

Precise for Oracle Database keeps your Oracle database environment available and performing at peak efficiency. It captures, measures, and analyzes performance metrics from all critical system components and helps you detect and correct the root causes of problems...

Demystify data integrity

When we talk about knowing our data, we do not seem to refer to the term data integrity anymore as part of that conversation. After all, that phrase can be intimidating. But at its heart, it is straightforward–guaranteeing our data has meaning. The good news is...

Tips for data warehouses and other large databases

Whether on-premises or in the cloud, people often ask database administrators to create and manage optimal database designs for data warehouses. This also extends to data lakes and many other extensive databases. People ask them to do this using relational database...

Monitor pragmatically for SLAs and application performance

Watch the webinar “Pragmatic monitoring: Guiding IT with SLA management and application monitoring” by Robert Vandervoort to learn more about pragmatic monitoring within management of service-level agreements and application monitoring. Robert will help...

Add health monitoring to performance monitoring

Database administrators must monitor their databases for factors such as availability, health, and performance. However, monitoring also has costs associated with it that may exceed the benefits it provides. A performance monitoring tool is essential for...

Select the right approach to data governance

There are three distinct approaches organizations can follow to implement Data Governance. There is the command-and-control approach, the traditional approach and the non-invasive approach to putting a formal program in place. The benefits and the issues that result...

Consider these database security risks

Database security is perhaps the most important part of an information security program that many people are not paying attention to. Some might assume that network or server security controls are adequate to protect databases. They are not. Gaps in Information...

Learn about data model behavior

A data model organizes data elements and standardizes their relation to each other and the properties of real-world entities. Edgar F. Codd introduced the relational database model in 1970, which uses tables to make databases independent of other software...

Deploy and manage complex Azure environments

The data management professionals of today are finding their landscape changing. They have multiple database platforms to manage and need to control these complex configurations. Watch the educational Geek Sync webinar “Deployment and management of complex Azure...

Avoid common enterprise pitfalls of IT systems monitoring

If applications fail or suffer from low performance levels, then organizations lose revenues and customers. Information Technology (IT) operations managers and administrators need to adopt a complete IT dashboard. It needs to provide total visibility over the IT...

Be a proactive database administrator

Database administrators are busier than ever these days, so fighting fires is the last thing they want to spend their time doing. A proactive approach to database performance and maintenance helps keep them ahead of trouble and prevents minor problems from turning...

Avoid the seven deadly sins of database design

In the data management arena, you may hear from data professionals that if you don’t get the data right, nothing else matters. Several factors can lead to a poor database design — lack of experience, a shortage of the skills, tight timelines, and...

Choose between paid and open-source software

The choice between paid and open-source software tools can be a confusing one for decision makers. The promise of obtaining software that can reduce costs while providing the same level of functionality can be alluring. There are few software procurement professionals...

Learn about the top 5 data architecture challenges

Data architects face many challenges on a day-to-day basis. Models and associated metadata are the only means by which you can understand and manage complex data environments. Without comprehension, it is impossible to manage data quality. A well-defined data...

Design data-intensive cloud native applications

The cloud is transforming the way modern-day applications are being designed. Data is at the center of multiple challenges while architecting solutions in the cloud. With technology changing fast, there are new possibilities for processing data. Cloud native combines...

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