DATA WAREHOUSE
Data complexity and challenges are rapidly growing due to Technological advances, mergers and acquisitions, consolidation, and regulatory compliances, Every organization must evolve accordingly with the changing data arena to keep the pace on go-to-market strategy. we have a proven methodology of implementing large scale data warehouses that enable efficiency.
Data Architecture: Without establishing appropriate data architecture data warehouse can not assist decision-making effectively. We understand how to design conceptual, logical and physical data models for traditional OLTP systems and dimensional modeling for data warehousing projects. upon investigations we build and re-engineer new/existing data models which shall ensure business Data goals, ensuring the end results will provide an optimized, scalable model. Our data warehousing experts ensure data warehouses are built on good foundations that are flexible to serve current and future needs.
Data Analysis: Data Analysis ensures the accuracy of data, determines the flow of data through the warehouse and how it integrates with the other data sources. Our proven methodology for data cleansing and analysis includes identifying the right data sources for integration. We ensure that the data profiling and quality of the data in the warehouse is accurate, consistent and standardized.
Data Modelling and Design: Various ways the data can be used and we help data distribution and arrangements based on the organization need ranging from OLTP, Dimension Modelling, Star Schema and Snowflake Schema as well as we build cubes as needed for the business to run the Ad-Hoc slice and dice data view.
ETL Development: The stability, efficiency and timeliness of the ETL process to load a data warehouse is directly proportional to the success of a data warehousing implementation. We have the knowledge and experience required to handle a robust ETL design and development that will continually add value to the warehouse using the industry-leading ETL tools such Informatica, Pentaho, Talend, SSIS and more. We provide the necessary knowledge to help clients leverage the data in the best way through a variety of data warehousing implementations. We will closely work with business and IT teams throughout each project to provide assistance in designing data warehouse architecture, implementing ETL modules and providing data analysis services. Our data warehouse implementation services include:
– Source data analysis & data profiling.
– OLTP and dimensional data modeling (logical and physical).
– Data quality.
– ETL development
ETL Validation: We have skilled team who shall run the various defined validation checks through scripting to ensure the every data point of the largest store is been validated against the Data Structure, Governance, Quality , Business Rules, Duplicity, Accuracy and Security, which shall ensure the data confidence and data readiness for usage as well as to publish to downstream data needs.
We have implemented several data warehouse solutions ranging from open-source to enterprise as well as on Hadoop on Cloudera’s.