Enterprises are navigating through a period of intense change where business operations are becoming primarily data intensive. Studies indicate that over 2.5 quintillions bytes of data is being generated by enterprise systems each day. This data growth in large part is spurred by digital economies where there are several connected technologies, processes, and systems spanning across different B2B operations:
This proliferating problem can be broken down using the four V’s of Data:
Volume: This is the size in GB, TB and Exabytes of data. Surging volumes and heaps of data being produced at astronomical rates. This volume of data cannot be processed with conventional methods.
Data is usually shared or moved in files and the processing of large or flat files leads to application failures and breakdown of enterprise data flows, causing incomprehensible information losses and painful delays in mission-critical business operations. Enterprises lose valuable time and money in discovering, extracting, preparing, and managing rogue data sets. They fail to adapt their business according to new market realities and capitalize on market opportunities.
The need for processing large data sets with agility is dire – where earlier businesses were handling data in kilobytes and megabytes, now they are talking about tens and hundreds of GBs of daily volume. There has to be a foundational technology that helps businesses to get quick access to data, prepare it for analytics, and deliver improved services to customers.
To solve this problem, Adeptia has developed its Large File Data Ingestion feature. This innovative “big data” solution is a total shift from the conventional ways of structured data processing, it resolves all multi-GB data processing hassles in a single interface. Near zero-second latency enables users to manage torrents of data and ensure high availability of data at all times. The solution makes it a lot easier to pull scattered pieces of puzzle together and extract value out of them in all four dimensions: Volume, Variety, Velocity, and Veracity of data. On its interface, business users get pre-built constructs to deal with real time data in action. They can deal with computational complexity & quickly process data in structured, unstructured, and heterogeneous formats.