A data warehouse is constructed by integrating data from multiple heterogeneous sources that support data analysis and reporting, structured and/or ad hoc queries, and decision making. Data warehousing involves data cleaning, data integration, and data consolidations. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence.New data is periodically added by people in various key departments such as marketing and sales. The warehouse becomes a library of historical data that can be retrieved and analyzed in order to inform decision-making in the business. The following are the functions of data warehouse tools and utilities − Data Extraction − Involves gathering data from multiple heterogeneous sources. Data Cleaning − Involves finding and correcting the errors in data. Data Transformation − Involves converting the data from legacy format to warehouse format. Data Loading − Involves sorting, summarizing, consolidating, checking integrity, and building indices and partitions. Refreshing − Involves updating from data sources to warehouse.

How Genflip will help you ?

• We helps to store the data in three different ways: on-premise data warehouses, cloud data warehouses, and hybrid data warehouses
• Our technical experts helps you to build your data warehouse for business intelligence via three overarching activiDetermine Business Objectivesties: data wrangling, data storage, and data analysis.

Steps we follow to build your Data warehouse.