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The data warehouse is highly business critical with minimal allowable downtime. We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 datalake. This exercise is mostly undertaken by QA teams. Vijay Bagur is a Sr.
The BI infrastructure: This includes designing and implementing data warehouses, datalakes, data marts, and OLAP cubes along with datamining, and modeling. Without a strong BI infrastructure, it can be difficult to effectively collect, store, and analyze data.
The BI infrastructure: This includes designing and implementing data warehouses, datalakes, data marts, and OLAP cubes along with datamining, and modeling. Without a strong BI infrastructure, it can be difficult to effectively collect, store, and analyze data.
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