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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. It’s a snapshot of data at a specific point in time, at the end of a day, week, month or year. Saving time and headaches with online analytical processing tool.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. Download the following files to perform the ELT: The Python script to load sample data into our DynamoDB table: load_dynamodb.py. These types of queries are suited for a data warehouse.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

The following figure shows a daily query volume snapshot (queries per day and queued queries per day, which waited a minimum of 5 seconds). To identify percentile and top running queries, you can download the sample SQL notebook system queries. The data warehouse is highly business critical with minimal allowable downtime.