Many (probably most!) state governments in the U.S. struggle with the fact that the data their employees need to successfully and smoothly run their important programs is often lost in disconnected silos. They cannot get a complete view of the data, which means that essential services that leverage this information are delayed or ineffective. This is, ultimately, no good for public consumers who rely on these services (read: U.S. citizens).
The struggle with relational databases and legacy technology is real. In this first of two blogs, learn about how this type of database slows down data integration efforts, which impacts service delivery, and about the signs that the legacy technology your agency relies on is a problem.
Relational database management systems (RDBMSs) have dominated the industry for decades. They’ve been effective for accomplishing the tasks they were designed to achieve, however, this model has had a hard time keeping up with the quantity, scale and quickly changing nature of data that your agency wants to store, manage and integrate.
A traditional RDBMS features a static data structure—not exactly ideal for the flexibility and agility needed for fast data integration. A database schema needs to be established before coding even begins. And, changing the database structure subsequently is time-consuming and expensive.
This model also is designed to scale vertically. So when it starts to have execution challenges, it’s usually moved to bigger (and more expensive) hardware. But the lightning-speed changes in today’s data cause rapid growth of the database. And, in the case of RDBMS, the growth often exceeds the speed at which a painfully slow migration process can occur.
The bottom line is, data is created faster and it changes faster than ever before. And, the questions asked of the data also change faster to meet new business requirements. Decisions are now made in minutes, not days, and data to support those decisions must be delivered in the right format and with greater efficiency—relational databases can’t keep up.
So, running an old or obsolete system can do real damage to organizations, companies and yes, governments. The technology makes security more vulnerable for breaches, fails to meet clients’ needs, is expensive to manage and more.
Below are signs that your legacy technology is affecting your mission:
In our next blog, we’ll explain how multi-model NoSQL databases can solve your relational database woes and help bring your data to a place that’s most effective for your employees and services.
Download our ebook, Introducing the Operational Data Hub, and find out how MarkLogic’s ODH pattern can address data integration headaches. It provides functional specifications of what ODH does and explores use cases of how it is being put into practice today.
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