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Oracle CloudWorld: Sesame Software to Display Instant Data Warehouse and Fully Automated Data Pipelines
Relational Junction, as part of Sesame Software's offering on Oracle Cloud Marketplace, enables secure and rapid data movement, which enables robust data analytics and reporting
FREMONT, CA: "We're excited to showcase how organizations can securely move data on OCI from Oracle Applications and a wide variety of sources to the target of their choices, such as an Oracle Database, Oracle Autonomous Data Warehouse, or Oracle MySQL HeatWave for robust reporting and analytics," says Rick Banister, Sesame Software founder, and CEO.
During Oracle CloudWorld, October 17-20, in Las Vegas, Sesame Software, one of the leaders in Enterprise Data Management, will showcase its data management platform, Relational Junction. It is now possible to collect data from multiple sources in just a few minutes in a data warehouse, data lake, or lakehouse. Relational Junction brings it into a data warehouse, a data lake, or a lakehouse.
Customers of Oracle Cloud Infrastructure (OCI) can deploy Relational Junction directly from the Oracle Cloud Marketplace so that complex data workloads can move to the target of their choice within minutes from the Oracle Cloud Marketplace. Relational Junction has many different uses, including data integration and replication, cloud migration, and more.
"Powered by Oracle Cloud Expertise" means that Relational Junction's enterprise data management platform has been tested and verified on the Oracle Cloud Infrastructure and certified by Oracle. The achievement of the OCI SLA guarantee helps give customers confidence that Relational Junction will be able to provide them full access to and control over the cloud infrastructure services they choose, as well as provide consistent performance over time.
According to Sesame Software, the latest version of the Relational Junction product features enhanced data workflows and fully automated pipelines. With this technology, users can internalize and ingest data rapidly and then merge that data into a single database to enhance analytical capabilities.