Fire Up Your Front-end Applications with High Performance Data Frameworks Without Compromising Traditional Back-end Systems

In a digital world, businesses need to provide customers with cross-channel and responsive experiences. However, traditional front-end to back-end system integrations have limitations such as slow data access, lack of real-time information, high computational costs, and complexities in managing and integrating data from different sources. To address these issues, businesses have developed APIs and integration middleware that maintain independence between front-ends and back-end legacy systems. However, this approach puts significant pressure on legacy systems, making it crucial to ensure they can handle unexpected peaks in demand without risking overload. To tackle this issue, Fincons Group designed a new data architecture framework called Fast Data Lake. This innovative solution enables businesses to develop the best possible technological solutions for customer expectations while reducing investments and safeguarding legacy back-end systems. The Fast Data Lake allows APIs to read data from a single repository known as a data lake, which is continuously updated in near real-time by legacy systems via data streaming. Traditional data management platforms typically update data in the data warehouse with a batch approach every 24 hours, requiring hundreds of extractions and ETL procedures. In contrast, Fast Data Lake offers near real-time, up-to-date data that can be quickly accessed 24/7. This is possible because the Fast Data Lake enables dedicated data structures based on every use case that needs to be implemented. By merging both historical and new data into a single data hub, the Fast Data Lake provides intermediation between APIs and the back-end, acting as an inquiry decoupler between the front-end and back-end to ensure safe handling of peak-time data volumes. Fincons' Fast Data Lake has become the leading data lake solution with its integration of highly customized components and select first-in-class market technologies such as Datastax Enterprise, built on Apache CassandraⓇ. This NoSQL database management system is designed to handle large amounts of data while providing high availability with no single point of failure. The Fincons Fast Data Lake leverages Datastax's potential for transferring, storing, and accessing data, avoiding cloud providers lock-in due to the portability DataStax provides. By reducing the complexity of API service layers through system integration, Fincons Data Lake can help businesses respond to customer needs without jeopardizing the performance and operability of their legacy back-end systems at competitive prices.