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 need a big data architect to integrate multiple data sources in structured and unstructured data including SQL database of a CRM and social media analytics. We need the solution to process all the data to data warehouse for analytics purpose. Experience with data analytics, reporting dashboard and Cloud will be a plus.

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    Objective: This project aims to gather cryptocurrency historical trade data from 5 different crypto exchanges and create a dashboard to analyze data. Skills Required: - API integration - Database management - Any BI or Visualization tool experience. Deliverables: 1. The freelancer hired for this project will help us decide which AWS products/services we need to purchase to execute t...

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    Please send your presentation (e.g. Colab, Datastudio, Tableau) on your quantitative analysis of CA-18 congressional 2022 candidates head of time. This should have the pros/cons and opportunities of each candidate using the voting and census data. Here is a suggested process: Step 1: Gather precinct-level voting data for Congressional District 18. There are three counties in district 18. However...

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    Please find below example [URL'yi görüntülemek için giriş yapın]

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