Abstract
In the era of bigdata, and never ending data push from IoT devices, the IT infrastructure are built to be scalable to handle the huge batch loads or continuous streaming live data. However, the big question is how can be establish the data integrity. How can we make sure no data is lost from Origin till the destination passing through numerous touch points enroute ? How can we ensure the quality with continuous inflow ? Should the inflow be suspended to perform the DQ checks? Or should it be a totally independent parallel activity. Let’s explore. Key words: Quality Data Management, Data Pipelines, AutoScalling, Large Scale Streaming Data, Performance, IoT, Data Cleansing
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 callMore From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: 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.
