Abstract
Data architecture began with simple storage devices. But soon, the need to store lots of data and to access the data quickly caused these early devices to disappear. In its place came disk storage. With disk storage data could be accessed directly. But the need for managing volumes of data surpassed that of disk storage. One day, there appeared big data. And with big data came the ability to store effectively unlimited amounts of data. But as big data grew, the older day-to-day systems did not go away. There began to be a need for a rational way to interface legacy systems to big data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
