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.
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We are one of the India's fastest growing staffing company. We have huge database of employee's manually stored in files. We are looking at somebody who can automate the process of employee on-boarding and data keeping.
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Help required in these topics 1. Data warehouse software for integrating data from disparate (dissimilar) sources and how to use these 2. Tools, platforms and architecture available for handling big data and how to access and apply these 3. Software tools for collating and cleaning data and how to use these 4. Objectives and scope of the analysis (basics of statistics) 5. Types of data analysis an...
I need some tutoring from an SAP certified tutor, it's a small project shouldn't take more than 6 hours.
UPS is hiring individuals to work in part-time Data Entry and Warehouse positions. This work requires applicants to type a minimum of 30 words per minute. This is a physical, sometimes fast-paced position that involves lifting, lowering and sliding packages that typically weigh 25 - 35 lbs. and may weigh up to 70 lbs. Part-time employees usually work three to five hours a day, Monday through Frid...
o Professional experience in building Reports, Dashboards and Scorecards Strong knowledge of Visualization tools like Tableau o Ability to understand and analyze the data to find patterns and valuable Business Insights o Understanding of the Data warehouse life cycle right from data source to ETL to transformations to multidimensional models like data marts, star schema and Reporting o Strong Sem...
