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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    1. Gather Biz & Data Requirements for Mortgage bank biz 2. Data Acquisition & transformation 3. Data mapping 4. Analyze different data sets by running complex SQL queries 5. Teradata database knowledge required 6. Jira reporting & project management 7. Strong datawarehousing knowledge, star, snowflake schema 8. Knowledge of OLAP, OLTP & Data Quality , Data Governance 9. Knowledge of Mortgage biz process flow (Loan origination, servicing & underwriting) & various data elements/schemas

    €7 / hr (Avg Bid)
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    Hi, We need to import data from various data sources to Elasticsearch over AWS. We have observed the AWS Matillion data exchange service can be a good fit for our data warehouse(Elasticsearch) but we are open to hear more (AWS data exchange related automated solutions). Please share your proposal with small description of your suggested solution along with price. NOTE: The solution is required to be based on any of AWS data exchange service where data sources can be setup for import to Elasticsearch.

    €96 (Avg Bid)
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