Centralize data from disparate systems, to enrich insights and optimize workflows
Direct connections to Oracle, IBM DB2, MS SQL Server, AWS, Google Cloud and Azure Databases.
Connections to SFTP based systems for consumption, production and monitoring of files and structures.
Ability to consume and produce transactions to messaging services such as Java Message Service, IBM Message Queue and Kafka.
Integrations with REST and SOAP interface endpoints.
Extraction from non-structured data sources like images, PDFs, Word, Excel and Flat Files using a blend of OCR, NLP and ML into structured data. Read more about our Intelligent Document Processing services here.
Listening to mailboxes and parsing data from emails so that data can be structured and used for operational processes.
Deploy software robots to read data from stubborn legacy systems where a modern service or direct connection can’t be exposed.
Once data is sourced, the Data Aggregator can persist it to a repository that is consistent with customers’ master data management policy, security and technology guidelines. Alternatively, we can recommend, install and securitize a repository that best suits the data complexities of our customers.
The Odesso Data Aggregator is designed to be a hot deploy (no downtime required) stand alone installation. Depending on the number of data sources, authentication, access and master data management policies, the installation can take between 1-10 weeks. To get a quote, please contact us today.
Transactional data such as topics from Kafka streams or messaging queues are throttled by the Data Aggregator. It works by slowing transaction processing during peak hours, and accelerating it during off hours. It also implements transaction locking, batching, exception handling and queuing to ensure data integrity is optimal.
Click below to learn more about the Odesso Business Process Manager.
Contact us to learn more about the easy to install Odesso Data Aggregator today, and unify your company experience around a common story rooted in facts within weeks.