Data integration in data warehouse - RootFacts


Data Integration In The Data Warehouse

Every organization uses data to run its business operations. Data integration in warehousing allows a business to streamline all their data together and use it to improve production processing, lessen errors and improve data quality.

Data integration in a data warehouse can connect to a source system, pull data, transform it and integrate it into a target system along with data from other reference systems. The target system can be used as a golden record to use on other applications and computing systems.

What Does Our Data Integration Service Strategies Include?

• Extract, Transform and Load - We first extract the data from a source and then it is transformed by a middleware ETL server before it’s ready to be transferred to the main system.

• Data Replication - Any changes done on the source system are reproduced on the main system in real-time.

• Publish-Subscribe - The system is subscribed to a data integration service that helps in updating the system automatically.

• API & Web Services -It allows for building a loosely associated architecture that can listen to multiple requests.

Why Implement Data Integration In Data Warehousing?

Data integration in data warehouses facilitates information from various sources and brings it into a single warehouse. This data warehouse is available to every department where they can clean, store, and restructure any information based on their research and analysis. 

Many companies prefer multiple applications in their business operations. A good integration technology can make the communication smooth between each department and improve business processes.

With the help of an integrated data warehouse, a business can facilitate the following applications:

  • Customer relationships management

  • Product strategies

  • Business intelligence 

  • Custom research

  • Big data leveraging

  • Data warehouse and lake design

  • Extract, transform, load (ETL)