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As part of Oracle ERP/HCM implementation, there is always a need to extract data in bulk and near real-time into a staging table that can used as belowu200b
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Cloud Data Extraction Engine www.btsscorp.com
01 Business Requirements As part of Oracle ERP/HCM implementation, there is always a need to extract data in bulk and near real-time into a staging table that can used as below Reference Data for Integrations to validate and derive values in bulk Data Warehouse Reporting Consumption for upstream/downstream pplications/portal in bulk
02 Objective Provide a configurable/manage-able data extraction strategy for various data needs Evaluate and address real time and near real time requirements appropriately Assist the customer with data identification and mapping (Lookups , domains, dimensional and factual data etc.)
03 Challenges High volume data to processed at varying frequency presents particular difficulty in tracking (if not designed properly) The data to be used and displayed in external / third party facing portals and accuracy/reliability is of utmost importance Deep learning curve at the customer of new technologies
04 Risk Involved Service reliability concern Compliance to the Internal controls Resources allocation for this need or objective were not forecasted in the project upfront
05 Solutions At BTSS, we developed an application that leveraging the customer investment on Oracle Autonomous database The application (Cloud data engine extract) uses Oracle ATP/APEX on OCI to automate the data extract from SAAS cloud into ATP database
06 Benefits Leveraged existing customer OCI investments Reliable solution for data replication – harnessing the power of Oracle Autonomous Database Solution is written using PLSQL and OCI cloud services (object storage) and it was easy for the client to understand Elegant solution leveraging the fusion capabilities to replicate data natively
07 Results Cost effectiveness Streamlined Optimized Increased Productive with reduced implementation time
Thank You www.btsscorp.com