What Is Data Virtualization and How Do I Hire Someone To Help Integrate It?

crop hacker typing on laptop with data on screen
Photo by Sora Shimazaki

If you’re into gaming, you know it’s much easier to beat a game when you have all the insider tips and cheat codes. That’s why many gamers buy special digital packs and manuals to guide them through their virtual journeys. Well, what cheat codes, digital packs, and video game guidebooks are for gamers, big data is for businesses. And what business owner wouldn’t like to have cheat codes and insights to help them beat their competitors?

Business users are serious data consumers, and they want more actionable insights into their markets, customer preferences, demand changes, and business operations. What makes it challenging is having to sift through massive amounts of unstructured data for obscure insights. Data virtualization tools make business intelligence (BI) operations much simpler and more efficient. Continue reading to learn what data virtualization is and how to find the right partner to help you integrate it into your business intelligence infrastructure.

Data virtualization is integral to your business intelligence infrastructure.

As we mentioned in the introduction, data virtualization software is one of the most powerful business intelligence tools you’ll find. So, what is data virtualization? In short, it’s the process of discovering, transforming, and storing data for analytics and data management purposes.

One of the great things about data virtualization tools is they make data integration much simpler than it was in years past. It used to be that you had to set aside days, weeks, or even months to implement manual extract, transfer, and load (ETL) data integration processes. However, data virtualization uses virtual middleware and automation to do in a fraction of the time what it used to take data management teams months to complete.

Data virtualization software makes data governance more efficient.

The more data a company consumes, the more difficult data governance becomes. Most companies use a litany of software programs to handle business operations and provide customer service. The challenge is that all of the different apps you use likely have differing formats, making it hard to process data analytics purposes.

Data virtualization software provides a number of data governance functions that enable data managers to do more with less effort. One of the ways to manage disparate data sources is to set aside a data layer in your virtualization middleware for a logical data warehouse. Data engineers can create a single model for their data warehouse, and the warehouse will format all data as it comes in to promote uniformity. Data federation enables companies to provide a single point of access for all their databases, and virtualization tools mitigate the need for data movement from one physical location to another, ensuring data quality and security.

The first step is choosing data virtualization software.

The first step to choosing someone to help you implement data virtualization is choosing the right data virtualization technology for your company. TIBCO is one of the industry leaders in BI, and its data virtualization servers are the gold standard for virtualization tools. They’re BI developers with decades of experience making powerful BI tools, so they have the software and expertise to take your company to the next level.

Hopefully, now you see how critical data virtualization software is to your business intelligence operations. Data virtualization technology makes data management much simpler and more efficient. Handling business data from different data sources makes it difficult to capitalize on your business intelligence, which is why it’s critical to choose the right virtualization tools and data services. They can help with everything, from creating data models for analytics, managing disparate data with different formats, and creating data pipelines for real-time data insights. Implementing data virtualization could be your best business decision yet.

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