Operational Data Store
Operational Data Store (ODS) are nothing but data store required when neither Data warehouse nor OLTP systems support organizations reporting needs. In ODS, Data warehouse is refreshed in real-time. Hence, it is widely preferred for routine activities like storing records of the Employees.
Note
Unlike traditional data warehouses typically used for long-term storage and historical data analysis, an ODS focuses on providing a current, integrated, and consistent view of operational data from multiple sources.
It acts as an intermediary layer between the operational systems (such as transactional databases, CRM systems, or ERP systems) and the data warehouse or data mart.
This is a type of data warehouse that stores operational data from various sources and provides near real-time reporting and analysis. It is designed to handle frequent updates and queries from operational systems. It also serves as a source of data for the EDW or data marts.
An ODS is a type of data warehouse that stores real-time or near-real-time data from transactional systems. It is designed to support operational reporting and analysis, and it typically uses a bottom-up approach to design, which means that the data model is based on specific business requirements.
Getting Started
An operational data store (ODS) is a central database that aggregates data from multiple systems, providing a single destination for housing a variety of data. With information constantly updated, an ODS enables a current snapshot of relevant business metrics, allowing decision-makers to take advantage of time-sensitive opportunities and make data-informed decisions while business operations are occurring.
Operational data stores integrate data from their source systems in their original format. Once loaded, data in the ODS can be scrubbed, resolved for redundancy, and checked for compliance with relevant business rules. An ODS is especially useful for light-duty analytical processing such as operational reporting. And since data contained in the ODS is always the most recent data available, this system is ideal for real-time data analysis on business processes as they are happening.
Unlike extract, transform, load (ETL) systems, an operational data store ingests raw data from production systems in its original format, storing it as is. There’s no need to transform the data before it can be analyzed or used for making operational decisions about the business.