Minnesota Center for Twin

 Computer Science: Minnesota Center for Twin: ask-1: Critically evaluate the significance of the following aspects in your real-time data analytics adoption strategy:

· Data Ingestion and aggregation

· Role of Data Mart and Data Warehouse

· Advantages/disadvantages of real-time data analysis

· Automated analysis using machine learning algorithms

You are also required to provide examples for the above in your critical evaluation. The suggested word limit for this task is 600 words.

Task-2: Compare and contrast the following data processing options/aspects for your enterprise-wide data analytics strategy:

· Complex event processing

· Extract, Transform & Load (ETL) Pipeline

· Interactive dashboards

· Geo-spatial analysis

The suggested word limit for this task is 600 words.

Task-3: Data stream processing plays a pivotal role in a real-time data analytics adoption strategy. In this task, provide recommendations for developing an automated data stream processing pipeline for performing Business Intelligence (BI) in the organization of the Assignment 1 scenario.
The suggested word limit for this task is 300 words. For more information on Minnesota Center for Twin check on this: https://en.wikipedia.org/wiki/Minnesota_Center_for_Twin_and_Family_Research#Twins_reared_apart


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