Have you dreamed of a single, custom-designed data processing capability to solve every need? One-stop shopping for data processing needs via a pluggable architecture that brings together all the most useful data services and capabilities with relevant pipelines, semantic tiers, or APIs? You’re not alone. The latest and most complete solution for that is data fabric.
What is Data Fabric?
Data Fabric is an approach to the design, organization, and implementation of data services. It is meant to create semantically related microservices in a big data context.
A Data Fabric is the concept of an application-specific data pipeline, which traverses through various stages and microservices to bring together data value. It provides powerful APIs to develop applications with integrated access to the needed data. This novel approach allows standardization - both at the Technical level and the business model level - and gives organizations the ability to innovate as quickly as they can envision new ideas.
Definition: “A custom-made design that provides reusable data services, pipelines, semantic tiers or APIs via a combination of data integration approaches in an orchestrated fashion.”
Why do we need it?
Data fabric is the key to the next level of analytics. In both big data and smaller business applications, data analytics is the key to success today. Every day we analyze data. For our ads, for our inventories, for future planning, and so forth.
Data fabric has some advantages in comparison to more traditional data frameworks:
- Access to a wide variety of data;
- Data analysis handling without technical skills;
- Exploring different use cases;
- Single architecture weaves the data into a single fabric;
- Flexible scale and functionality to fit your needs;
- Enhanced data ecosystem security;
All this lands down to is that data fabric can be an effective and easy tool in all sorts of companies and industries.
So, data fabric is beneficial for businesses to make their services better, faster, more accurate. With all the new data sources and information flows, analyzing all the available data, like the customer feedbacks, is a challenge. The data fabric makes this so much easier.
How will it affect us?
With the amount of data growing immensely and the sources and types of data multiplying, a structured, easy-to-access data system is crucial already. And that is only going to get worse.
The day using data fabric for data use and analysis becomes the norm is not far off. Then the quality and speed of analysis will go level up. This will lead to better-customized products and services, quicker reaction times, higher prediction accuracy.
The routine use of data fabric will result in more accurate weather forecasting, better individual approach in various services, more effective solutions in emergencies, etc. It will also bring more customized advertisements (as if what we have now is not enough), a more effective google search experience, and so on.
Data fabric is not an actual hyper-drive, but still, it is in the realm of data analysis and usage. And you can bet it will have the same effect on how we treat data that the actual hyper-drive would treat distance.
It is hard to predict the full effect of universal data fabric usage, so we shall have to live to see. My bet is, it’s going to be quite interesting.