A data warehouse is a key component of business intelligence, and is the core of data reporting and analysis. Data is uploaded from systems such as marketing and sales, and is stored with recent data alongside historical. This allows for comparisons to be made, and trends to be observed in terms of a business’ success. A typical data warehouse uses an ‘ETL’ model, meaning that the data goes through a process of extraction, transforming and loading. The end result is an organized, retrievable set of data, often with extraneous data removed during the process through ‘data cleansing’.
Data is organized into hierarchical groups, and categorized as either facts or aggregate facts. Managers and business professionals are then able to use the data for market research and decision support.Hire Data Warehouse Experts
Hi, We have a bakery selling bakery, confectionery and other general store items. I want to analyse sales data for following reports: - Basket Analysis - Sales Predictability - Low performing items - Days when certain items are sold least - Timings when certain category items are sold most - Any other report you think will be helpful to plan stock purchasing and reducing waste for freshly baked items W.g bread, cakes etc Data will be available in cab format. Any questions please let me know. Thanks
The task is to Design a Data warehouse using SQL DEVELOPER. The data is about water measurements from the duration 2000 to 2016. You have to design a star schema then perform a cleaning operation on it after that using linear regression train the model and predict the result