Data Architecture & Integration

To manage business and gain competitive advantages through various data initiatives like master data, data warehouse and data quality organizations must integrate their data. To transform dispersed data into integrated data in a data sensitive organization is not easy. Sometimes it is very hard to make the decision to dump off old legacy data or to extract and transform them to build a data warehouse for analysis purposes.

In the constant changing landscape of business, mergers and acquisitions happen. In the event of server and storage consolidation, migrating and consolidating data from various sources is very important to the integration of the data while maintaining quality. Data Migration and upgrades becomes a necessity during business process changes, business reorganizations, changes to corporate standards or strategies, retirement of old systems, opportunities to improve solution quality, and opportunities to reduce risk. Research suggests that one third of data migration fails to achieve its goal, one third of the data migration projects exceed costs and nearly forty percent of data migration projects exceed the allotted time.

ETL (Extraction, Transformation, Load) tools are known for their role in moving data into an Operational Data Store (ODS), and Data Warehouse or Data Mart. ETL tools can be used to pull data from multiple source systems, including non-relational data stores. ETL processes can be quite complex, and significant operational problems can occur with improperly designed ETL systems.

Scalable System specializes in all leading ETL tools like Informatica, Data stage, Abinitio and offers expertise in ETL Architecture, Installation, Security Management, Repository Management, ETL Standards and Guidelines, ETL Hardware Configuration and ETL Tool Selection.

Scalable Systems offers services in ETL including, but not limited to…

Analysis, Design, Development, Implementation and Support of enterprise wide data integration
Extracting, Cleansing, Conforming, Delivering and Managing data as per the requirements
Data Migration services like determining source systems, target systems, the best data migration method and challenges,
   mapping source systems to target systems, extracting and cleansing source data, validating and loading in target systems,
   verification and validation of migrated data
Implementation of various ETL processes such as aggregation, look up, filter, change data capture, partitioning,
   error event tracking, job scheduling, recovery, version control, paralleling and pipelining, creating and maintaining
   metadata repository, etc.
Performance tuning and enhancement of the current ETL processes
Managing scalability for increasing data loads, implementing real-time large volume data loads
Implementing ETL best practices and Integration Competency Centers