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DATA INTEGRATION IN
DATA WAREHOUSE
www.rootfacts.com
KEY POINTS
Data Integration In The Data Warehouse
What Does Our Data Integration Service Strategies Include?
Why Implement Data Integration In Data Warehousing?
How business can facilitate the different applications
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
Data Replication
Publish-Subscribe
API & Web Services
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.
HOW BUSINESS CAN FACILITATE
THE DIFFERENT APPLICATIONS
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)
Contact Us
https://www.rootfacts.com/services/dat
a-integration-in-data-warehouse/
contact@rootfacts.com
THANK YOU

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Data Integration In Data Warehouse.pdf

  • 1. DATA INTEGRATION IN DATA WAREHOUSE www.rootfacts.com
  • 2. KEY POINTS Data Integration In The Data Warehouse What Does Our Data Integration Service Strategies Include? Why Implement Data Integration In Data Warehousing? How business can facilitate the different applications
  • 3. 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.
  • 4. 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.
  • 5. WHAT DOES OUR DATA INTEGRATION SERVICE STRATEGIES INCLUDE? Extract, Transform and Load Data Replication Publish-Subscribe API & Web Services
  • 6. 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.
  • 7. DATA REPLICATION Any changes done on the source system are reproduced on the main system in real-time.
  • 8. Publish-Subscribe The system is subscribed to a data integration service that helps in updating the system automatically.
  • 9. API & WEB SERVICES It allows for building a loosely associated architecture that can listen to multiple requests.
  • 10. 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.
  • 11. HOW BUSINESS CAN FACILITATE THE DIFFERENT APPLICATIONS With the help of an integrated data warehouse, a business can facilitate the following applications: Customer relationships management Product strategies
  • 12. Business intelligence Custom research Big data leveraging Data warehouse and lake design Extract, transform, load (ETL)