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Data Integeration
Data Integration
Moving and manipulating data --the Extraction, Transformation, and Load (ETL) process-- is perhaps the most important aspect of any datawarehouse application. Yet, this is always the most daunting and taxing of all challenges that an organization faces in the course of a data warehouse implementation. The problems are many:
- Inability to share information across the organization
- Many different inconsistent data sources and formats
- Multiple non-integrated, stovepipe applications
The Business Intelligence Architecture
Yómarí can help you extract data from multiple sources across your organization. We will help you to:
- Assess source system data availability and quality
- Define a data ETL architecture to extract, manipulate and load data between different systems
- Design data models that deliver actionable information
- Optimize queries for large volume implementations via database tuning, aggregation, partitioning strategies
- Implement a backup strategy to maximize data recoverability
In a standard implementation, ETL tools from third-party vendors like Informatica and Ab Initio can be used for the data integration solutions.
But it is not always necessary to use a third-party tool. You can do ETL processing using database specific codes and script. This determination largely depends on data volume, data cleansing needs, and the complexity of the data transformation.
Read More:
Business Intelligence Platform
BI Deployment and User Access
Data Warehousing and BI Overview
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