Why Audit a Data Center? 5 Checks to Ask About

why audit a data center

Data is highly valuable. Your organization possesses not only your data, but also your customers’ as well. Any kind of data theft or misuse may lead to huge monetary loss. In the worst case, your customers may sue you, or your organization may face bankruptcy.

So, if the data grows beyond your storage capacity, where should you store it? Let’s rephrase the question. How can you store the data securely?

The answer is data centers. But how can you be sure a data center will keep your data safe? Also, how will you know whether the data center facility is right for your storage needs? You carry out audits.

At any time, you can carry out an audit to check a data center’s performance. You can check the compliance standards and whether the facility is ready to operate. Sometimes, customers themselves carry out auditing activities. Other times, they hire a third party for auditing.

In this post, you’ll find out some important auditing activities to carry out before choosing a data center. You’ll learn what to ask while auditing the data center, so you’ll know whether the facility will keep your data safe. You’ll also find out whether the data center is certified and how its staffers would handle power outages or natural disasters. Learning all these details is an important part of finding out how to DevOps your data.

Let’s get started.

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How Has Big Data Improved the Audit Process?

How Has Big Data Improved the Audit Process?

As information systems advance, data generation increases. There was a time humans owned and generated data. But for the past few years, the technology trends have been changing. With these changes, the definition of data has broadened. For instance, it’s not necessary for data to have a structure, like having the same data type or organization pattern. In other words, the data may contain different data types that are randomly arranged. Machines can generate information as well. Data can also exist outside the corporate boundaries. Data is growing as time goes by. We’re using the term “big data” to describe this portfolio of data. So, while thinking about how this data can be managed for better reporting, you may wonder, how does big data come into the picture?

In this post, we’ll discuss how big data has improved the audit process. But before that, we’ll get to know what big data is.

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What Is Test Data Management in Software Testing?

What is test data management in software testing?

Testers have quite a lot of responsibilities. Often, when a tester thinks that they’ve covered all the test case scenarios, a regression defect appears. Usually, it appears at a late testing phase or when some new code changes are pushed in the application—the worst case being when the tester from the client side catches these defects in the production environment. Problems like this arise when a proper test data management (TDM) strategy isn’t in place. Managing data is, in fact, the hardest part of the software development life cycle (SDLC).

In this post, we’re going to learn about TDM in detail. We’ll get to know what test data and test data management are. Also, we’ll check out why TDM is important and the challenges that come along with it. Let’s dive into the details.

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