ETL and Data Integration Solutions

Effective Data Migration from Your Database to Your Data Warehouse

Regardless of the target destination, it is critical to have a team with a broad scope of data integration experiences working on your behalf.

An essential component of every successful analytics project requires the movement of data from one or more sources to one or more target systems. raHeyes’s data migration, integration, and Extract-Transform-Load (ETL) experts have extensive experience planning, developing, implementing, and tuning comprehensive and effective data warehousing and data migration solutions . Each step of the ETL process will be tailored to your individual needs and desired outcome to ensure all extracted data is processed and transformed for successful loading into the data warehouse.

• raHeyes’s expert data integration and ETL developers have provided comprehensive support to clients of all sizes and complexities.
• They routinely perform the following duties:
  • Design, develop, and build custom ETL and data integration solutions that conform to industry standards and best practices.
  • Extract data from multiple source formats, including Relational Databases, XML, Flat Files, Information Management Systems (IMS), Virtual Storage Access Method (VSAM), and Indexed Sequential Access Method (ISAM).
  • Clean extracted data to ensure data integrity and eliminate so-called “dirty data.”
  • Load transformed data into a customized data warehouse (EDW) in a manner that aligns with the client’s unique data storage needs.
  • Develop data warehouse structures and transformation logic from scratch.
  • Tune and add functionality to existing packages if needed.
  • Provide ongoing support and troubleshooting.
  • Performance tune poorly running logic and data transformations

How are we different:

• We build scalable solutions that can be enhanced as your business grows
• We help you make better-informed decisions by providing highly accurate data
• Store data from dissimilar sources in one single place and the correct format

At raHeyes, we follow Ralph Kimbal & Bill Inmon Methodologies :

1. Top down approach
2. Bottom up approach

Top down approach: We build Data marts for specific type of users, after building the complete Data Warehouse(Inmon Approach) Bottom Up approach: We first build various data marts for specific groups and then combine it to form a single, central data storage(Kimbal Approach)