Data is the oil of the Industry 4.0 revolution and perhaps the most valuable asset for individuals and institutions alike. No matter our understanding of Big Data as a digital commodity has matured but our practices to store and manage it lacks finesse. Among many techniques, storing the entire database in memory has been the most popular and in all honesty, the best one. Despite superlative performance in comparison to traditional RDBMS, full in-memory databases do have a drawback – they are costly! And this cost is prone to increase with growing data sets.
Unorganized data resulting in unclear visibility is the major roadblock to hone big data management capabilities and that’s what K2View Data fabric addresses.
K2VIEW’s Data Fabric has an innovative approach to it – breaking down the digitized business entity’s data into hundreds of micro-databases. This means every business entity in the system is represented by 1 dedicated micro-DB.
It retains all the qualities of the traditional approach such as a linearly scalable architecture, distributed and enormous in-memory parallel processing capability and minimized total cost of ownership.
How does K2VIEW Fabric work?
Creating millions of micro-databases
The solution captures data from multiple systems as per the Digital Entity schemas designed exclusively for every business entity such as customer, location, party, device etc. The Fabric Digital Entity integrates all transactional, master and other data sets.
Regardless of the incoming data set features such as the source, original formats, technologies, the Fabric Digital Entity integrates all transactional and master data sets. Furthermore, the fabric securely distributes the data into several Micro-databases.
What makes K2VIEW exceptional is its scalability to accommodate hundreds of millions of micro-databases. It also provides the option to be deployed on-premise or on-cloud.
The patented data fabric technology provides fully customizable Digital Entity creation for varying business entities across enterprises. Apart from assuring real-time performance which is a mandate for all use regardless of size, K2VIEW offers additional features. It comes attached with enhanced security, flexible synchronization and above all seamless easy administration.
How do Digital Entities work?
The digital entity and associated micro-DB concept is a bridge between scattered, hard-to-maintain data and high availability, business-oriented data. By its very nature, it enables split-second performance. Indeed, since the data is organized according to the business needs, around 95% of all data access will occur within a single micro-DB: this means that inherently every K2View Data Fabric query will execute against only one micro-DB (for a single business-related object) instead of having to scan through massive tables like other databases. And since the data is stored in micro-DBs, it also enables K2View Data Fabric to restrict access and encrypt data at the micro-DB level.
Moreover, it allows for fully flexible data retrieval without interruption of the underlying application systems: data can be retrieved in real-time, from in-memory when queried instead of having to retrieve all the data from all the massive tables before being able to access that data. Therefore, when describing K2View Data Fabric capabilities, we will heavily rely on this concept. The diagram below illustrates the difference between traditional data representation and K2View Data Fabric digital entity concept.
How does it outperform the traditional approach?
Since there’s no control over the propelling of big data, a typical enterprise system landscape hosts hundreds of small and large applications backed by hundreds of relational databases. The traditional approach however may not suffice the propelling of big data every day. So migrating traditional RDBMS to big data architecture is not an option anymore, it is a necessity. But the process is not only complicated but also expensive and time-consuming. Consequently, enterprises often end up losing data thereby impacting revenue models.
With K2VIEW’s micro-DB approach, it requires almost no effort of integration into a mature environment thanks to its embedded ETL layer, and full SQL and standard connectors support. Therefore, it uniquely ensures full consistency, guaranteed durability, and high availability of the data it manages.