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On-Premise Data Integration Software Market to Witness Huge Growth by 2028 | Microsoft SQL, ImportOmatic, webMethods, Cleo – KSU

Sesame Software Announces New Data Connector for Oracle Eloqua, Enabling Scalable Data Integration and Accelerated Data Insights

Sesame Software Announces New Data Connector for Oracle Eloqua, Enabling Scalable Data Integration and Accelerated Data Insights Sesame Software s Enterprise Data Management Platform, Relational Junction, provides Oracle Eloqua users with high-volume data warehousing to gain deeper data insights. News provided by Share this article SANTA CLARA, Calif., May 5, 2021 /PRNewswire/   Sesame Software, the innovative leader in Enterprise Data Management, today announced a new data connector for Oracle Eloqua, empowering marketers and data teams with a scalable platform for achieving deeper data insights. Business professionals who want to integrate Eloqua with the software tools they use daily now can sync all of their data to one place and gain a 360- degree view into marketing and sales activities, as well as multi-channel B2B campaigns. Customers can streamline their analytics projects with a robust database that scales to support ever-growing amounts of data with zero managemen

Sesame Software Releases Robust Data Connector for JD Edwards, Accelerating Analytics and Lift and Shift Processes, with Data Transfer Rates of Up to 34K Records Per Second

Sesame Software s robust data connector for JD Edwards accelerates analytics and Lift and Shift processes Relational Junction enables JD Edwards customers to streamline their analytics projects with a robust analytics database that can be easily used without a DBA background. Relational Junction also helps customers simplify the Lift and Shift process of moving data from database to database, resulting in substantial savings in personnel and maintenance costs. Sesame Software s Relational Junction supports rapid data transfer rates, moving data up to 34K records per second. A typical use case for many JD Edwards users is transferring data from an on-premise data source and moving it into the cloud, also known as Lift and Shift. Relational Junction speeds up this process with a simple click-and-load deployment that replicates an entire database with all its tables, views, indexes, and PL/SQL code quickly, with no downtime.

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