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
Profile - Data architect with years of experience in the design, development and upgrade of complex data warehouses Context - Integrating two MySQL databases and one MongoDB database to create a data lake/hub. Task - Validating the design and providing guidance on the implementation of the data hub/lake. Timing - Two to five days mid-April Type - Fully remote
Hello we are looking for a data analyst person who have knowledge on Data Mapping data Mining, SQL Database,Data Governance, Data Lake, data cleansing, , Power BI, knowledge on Tableau, Microdoft Azure and also ETL concepts. Payment will be done in INR Currency We can discuss more in details, during our discussions.
Needs to hire 5 Freelancers We are looking for Data engineer with below expertise: - Data extraction, - transformation, - loading, and maintenance - ETL DATABASE - HADOOP - HIVE - HBASE -Data warehouse development Responsible for the ETL development and optimization, maintenance and monitoring of massive data, and timely resolution of ETL related technical issues. Responsible for data project i...