Abstract
Over the last few years, NoSQL databases have been a key for several problems for storing Big Data sources as well as implementing data warehouses (DW). With decisional systems, NoSQL column-oriented structure can provide relevant results for storing a multidimensional structure, where the relational databases cannot be able to handle the semi-structured data. In this research paper, we attempt to model a conversion operation in the ETL process, which is responsible for Extracting, Transforming and Loading data into the DW. Our proposed operation is handled in the ETL extraction phase, which is responsible for converting a series of semi-structured data to column-oriented structure. In the implementation phase, we propose a new component using Talend open studio for Big Data (TBD), which helps ETL designer to convert semi-structured data into column-oriented structure.
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.
