DBAs Guide to Databases Under Linux

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The Eight Most Important DBA Shell Scripts for Monitoring the Database

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We Speak Linux - Essential Linux for the SQL DBA by Kellyn Pot'Vin-Gorman

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37 Best DBA Books of All Time - BookAuthority

In-house, in the cloud, as a service? A combination? Are containers a good idea? Virtualized environments? All are options when you are trying to grow your business and meet customer requirements. And success at meeting customer requirements is how businesses meet or don't meet business objectives. In today's world, customers expect applications and web pages to work quickly, seamlessly, and with little effort. We have all gotten accustomed to the immediacy of what we want, when we want it.

Identifying Your Oracle Database Software Release

This means that enterprises must be agile and able to deploy new services and applications quickly to meet the demand for new features or take advantage of new opportunities in unexplored markets. When deploying services, applications, or websites, you always need to plan for scale. The first thing that can impact data is a change in the database workload—whether due to a change in the data being stored and accessed or a change in the amount of traffic.

It's also important to understand how flexible your database environment is. Can it expand horizontally to deal with growth, or will it need more hardware? If you're in the cloud, what are the costs associated with increased usage? It's easy to buy more instances in the cloud to meet an immediate need, but those can be forgotten and left draining cash from your operating expenses, even after the need for them has passed. Knowing what type of information you are collecting and why can provide some insight into how. This often means using different databases for different applications.

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For example, consider an e-commerce site. There are many applications that work together to collect data for e-commerce: shopping cart contents, completed orders, inventory information, and restocking orders. You can store all this information in a single database—but that can require extra work and overhead to convert the data into a usable format for specific applications. Instead, you can store the information in a database best suited for that type of data.

Forcing one database to handle a workload it wasn't designed to handle can degrade performance and cause other problems. The more issues you can design out before launching products or services, the less chance there is of a future catastrophe. This means, for example, a financial-trading application developer requires DBAs and database engineers to architect a database that scales easily and avoids problems with latency.

To do this, they need to work closely with the developers to write better, more efficient database calls and construct a database that reduces lag to near zero. So, do you still need DBAs? The changing database landscape doesn't eliminate the need for database expertise: It moves the focus of that expertise closer to the design and development side of the application.

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Someone needs to not only design and tune the database to support the application, but that person must also understand how to build the modular pieces available in the cloud into a cohesive, scalable unit that meets the needs of the application and the company. This means there are much higher impacts and clearer ROIs realized from efficient database expertise. As the database landscape evolves, valuable DBAs will be less focused on fix-it solutions and more focused on strategy and planning solutions.

DBAs will be asked how the database can contribute to the overall business goals of the company and what solutions there are to help meet those goals. They will need to help application developers create database calls that not only make sense now but will work at scale. With new technology options such as cloud deployment and containerization, they will need to monitor and constantly reevaluate how applications are working with the database and how to improve performance or incorporate new features or demands from customers without affecting performance.

Finally, as more and more companies use different databases for different applications and scenarios, DBAs will need to continually keep up-to-date on new database trends and technologies in order to remain an expert source of database knowledge.