DataOps can help reduce time spent on busy work, enabling everyone from business executives to entry-level data analysts to become more organized and data-driven.

Today’s hybrid enterprise environments pose various challenges for database administrators. They are exposed to new and more complex tools that have the ability to facilitate their work. However, change can be daunting and hard-earned if DBAs don’t feel prepared to accept these changes. Not all employees may already know how to fully utilize new technologies or locate all available resources to help them manage and access data. For DBAs, the crisis is even worse, as their organizations collect ever-increasing amounts of data, store databases in disparate locations, and demand that they be used quickly for actionable business initiatives. Fortunately, an emerging discipline – DataOps – can provide the foundation to unlock real-time database management that can help reduce the burden on DBAs, alleviate challenges in IT environments, and improve insights. commercial.

DBAs can significantly leverage DataOps to keep databases available, performing, and agile. Here is a roadmap for integrating DataOps into the real-time database management fabric.

Do more database management with less

In hybrid enterprises, the data ecosystem has become so much more complex that it has become a burden on its guardians. For DBAs struggling with increasing demands to support new database offerings alongside legacy databases, the desire to innovate can be hampered by mundane tasks, as well as feelings overwhelm and burnout.

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In addition to feeling stressed, many employees tasked with working with data don’t always know what kind of data is available to them or how to use it. A Deloitte Analytics survey found that 66% of data within an organization is often considered “low quality” and is one of the biggest factors holding back progress in data management. It’s hard to motivate DBAs to adopt new methods when they can’t even trust their own data; they need reassurance that they can solve this problem and that they will have the tools and support to do so.

In addition to managing data quality, DBAs are also responsible for maintaining high data performance across various cloud and on-premises environments, which impacts performance management, tuning, and optimization. . Having complete visibility into cloud infrastructure and activity, as well as the performance of data workloads across the organization, is essential. This is where DataOps and automated tools can help. By using performance and DataOps tools, DBAs will find it easier to automate, build, and scale management systems. In doing so, they also make it easier to monitor database performance, troubleshoot service issues, and ensure quality, whether located in the cloud or on-premises.

If current processes or systems do not provide enough real-time information, DBAs should feel empowered to educate IT managers and operations teams about the challenge and provide them with the details they need to improve the time to obtain information. This is a process that database administrators to have to be key players if they want to make data operations smoother.

One of the main ways to do this is to train and hone skills in DataOps, which allows you to do more with less and apply those skills to managing real-time data.

See also: A good data analytics program relies on good DataOps

Make upskilling DBAs through DataOps a priority

Enterprise storage and data management has evolved rapidly over the past three years, and hybrid architectures are more popular than ever. However, for many companies, training methods have remained the same, not adapting to new ways of working. New technologies require DBAs to learn skills in real time using different strategies for slightly different purposes than they might have been before. To maintain strong data operations, IT managers must invest in training and upskilling data scientists and database administrators on the latest practices.

Sometimes the changes may seem small but have more impact than expected. Different databases are often somewhat similar but not completely identical to each other. For example, database administrators may be asked to adopt, mix and manage entirely new types of database architectures. Rational open source databases have many similarities to commercial relational databases, but differences still exist. Performance monitoring, workload analysis, query tuning, and instance resource optimization are unique to some degree among different vendors’ offerings. With so many scalable types of data analysis and monitoring tools at their disposal, it’s easy to get overwhelmed; To counter this, DBAs need to gain a solid understanding of new database technologies and architectures so they can put themselves – and their organizations – in the best position to succeed.

It is also crucial to provide training in additional cloud management and security skills to reduce the risk of data breaches or audit failures and to ensure efficient cloud migrations and operations. the cloud. Once DBAs understand how their day-to-day work intersects with cloud architecture and business security needs, they are able to improve operations while reducing risk.

By providing the right training and development programs to their DBAs, IT managers will make it easier for their teams to implement DataOps, automation, and other strategies essential for real-time management. Organizations will also see more effective cost control, higher customer satisfaction levels, increased backup efficiency and performance monitoring, and reduced burnout among their data teams.

Create a culture that prioritizes DataOps and collaboration

That said, improving skills alone will not guarantee improvement if IT leadership does not create and encourage a culture of DataOps, agility, collaboration, and empowerment of DBAs.

DBAs can also help build this culture by prioritizing and modeling collaboration, data accessibility, and visibility, which can help democratize data usage and ensure efficient work across the enterprise. ‘organization.

Encouraging and setting standards for proactivity will also play a key role in this agile and collaborative culture, as data is exposed to more risk than ever in today’s complex IT environments. IT managers and database administrators should work together to put risk mitigation plans in place, ensure that their vendors and partners help them proactively resolve issues, and avoid performance issues. By ensuring they have access to the culture and partnerships they need to scale DevOps, DBAs will be freed up to focus on core and rewarding tasks.

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An optimal DataOps culture enables DBAs to collaborate on their toughest challenges, scale new solutions, optimize the use of their organization’s data, and prevent problems before they happen. they do arise. With a solid internal plan for success and a commitment to this culture, it becomes easier than ever to rally an organization around this hybrid data strategy and the benefits for all aspects of the business.

Conclusion

DBAs are the people who make real-time database management possible – and setting them up for success is no longer an advantage but an essential element for successful business results. By empowering them within their organizations to learn new skills, collaborate, and scale DataOps to reduce time spent on busy work, everyone from business executives to entry-level data analysts will find themselves more organized, data-driven, and resilient to today’s business challenges. .