Ods Data Warehouse

The operational data store, or ODS data warehouse, has become an important part of data strategy for many enterprises. An ODS data warehouse can integrate widely different types of data from multiple sources to enhance reporting, while protecting information systems from the overhead of reporting demands. The benefits of an ODS data warehouse include greater flexibility, the elimination of batch processing and faster delivery of insight and analytics to users throughout the organization.

For all the advantages of an ODS data warehouse, this approach to managing data analytics presents a number of challenges as well. Bringing together and unifying all the data required for ODS reporting and analytics can be a complex and time-consuming endeavor. It can be an even greater challenge to sell this approach to internal stakeholders and influencers like CEOs, BI administrators, data scientists and ETL developers.

For IT teams to understand that the ODS data warehouse is essential as a gateway between legacy systems and a modern data warehouse, Qlik (Attunity) provides a solution for managing the ODS data warehouse more easily.

Simplify management of an ODS data warehouse with Qlik (Attunity)

Qlik (Attunity) enables organizations to accelerate data replication, ingestion and streaming across a wide variety of databases, data warehouse environment solutions and Big Data platforms. Enterprises worldwide rely on Qlik (Attunity) to move data easily, securely and efficiently with minimal impact on operations.

Qlik (Attunity) can automate the creation and management of an ODS data warehouse. supports homogeneous and heterogeneous source environments and exposes siloed production systems in a cost-effective way. Managing an ODS data warehouse with Qlik (Attunity) , enterprises can achieve faster time-to-value for big data projects, harnessing the power of data to deliver new insight and achieve competitive edge.

Benefits of Qlik (Attunity) for the ODS data warehouse

Qlik (Attunity) simplifies the creation and management of an ODS data warehouse by:

  • Accelerating data integration. Qlik (Attunity) lets administrators use an intuitive GUI to quickly and easily set up ingestion and replication tasks, eliminating the need for manual coding. Massive ingestion from thousands of sources into Big Data platforms can be managed easily and automatically, and Big Data loads can be efficiently processed with parallel threading.
  • Integrating data across all major platforms. Qlik (Attunity) supports the industry's broadest range of sources and targets, including RDBMS, data warehouses, Hadoop distributions, cloud platforms like data warehouse Microsoft Azure implementations, streaming platforms, applications like SAP and legacy data sources.