Why Use a Data Fabric?
We live in a world run by data. All businesses, from CBD vendors to advanced analytics companies, need methods to process and understand the large amount of raw data that comes to them through different sources throughout the day. Many companies turn to silos, data warehouses, or cloud environments to deal with their big data issues.
These solutions are clunky and don’t even hold a candle to the elegance of data fabrics. However, some businesses are still reluctant to undergo the digital transformation necessary to implement a data fabric in their company. So, why use a data fabric? In this article, we’ll explain how data fabric solutions put an end to big data issues, provide easy access to quality data, and prepares your business to succeed on its path to growth.
Solve big data problems.
Today, many data engineers are forced to store data in data silos, data lakes, and warehouses. However, this only solves half of the problem. After all, what’s the point of storing something if you’re never going to be able to use it? Because silos, lakes, and warehouses limit data access to a small number of people, enterprise data is often locked down to on-premises locations and trapped behind firewalls. Companies that opt for cloud storage take the risk that valuable company information could be stolen or attacked at the data source.
Companies use big data fabric solutions to help them keep their heads above water in a sea of data. An enterprise data fabric not only solves storage issues but makes the information being stored easily accessible to everyone in the company, from data scientists to CEOs, no matter where they are in the world, and no matter where the source of data is located.
Get access to clean, quality data.
Since data can be vulnerable in the public cloud and can stagnate or become corrupt during the transformation from one file system to another, data integrity is a huge issue facing companies today. An average data manager will often spend more time dealing with issues of data quality than she will on the issues she was hired to address like analytics and data discovery.
A distributed data environment like a data fabric solves these issues and reduces the workload of analysts and technicians. Machine learning algorithms ensure frictionless access to all source data and make it available on a single platform in real-time. This holistic approach solves multiple issues at the same time: Data security, data quality, and access to timely data. Businesses that use a data fabric architecture can rest easy that their data will not be corrupted, become inaccessible, or become a target of thieves and hackers.
Prepare your business for success as it scales.
No matter the size of your business, it’s a safe bet that the amount of data it is faced with will only increase as time goes on. A business’s scalability often depends on its ability to make real-time insights based on the datasets it has at its disposal. A data fabric gives companies the data integration tools they will need as they grow to take in all types of data.
A distributed data environment gives companies the competitive edge they need to scale and protects them from falling victim to their own growth and drowning in data they do not need. Positive business outcomes often come from well-informed decisions, and businesses that are landlocked to their servers are simply less equipped to perform in a fast-paced business environment. Any business that hopes to grow will need to be able to manage its data and draw insights from it. A data fabric is the simplest way to perform these tasks better than the competition.
