Author: Joseph D'Antoni

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What Is a Data Warehouse?

When it comes to Business Intelligence (BI) products, most of the reporting tools in the space presume that your organization has a data warehouse in place. A data warehouse is most commonly a relational database with data ingested from transactional systems (also known as online transaction processing, or OLTP, systems) on a regular cadence or […]
By Joseph D'Antoni
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Artificial Intelligence vs. Machine Learning: Exploring the Differences

Artificial intelligence (AI) and machine learning (ML) are constantly being used interchangeably in the tech landscape. But are they the same thing? The answer is No. They both combine machines with the study of cognitive science in an attempt to mimick how the human brain performs thought, learning, and mental calculations. However, they have distinct […]
By Joseph D'Antoni
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What Does a Modern Data Stack or Data Structure Look Like?

The traditional data analytics architecture was pretty straightforward—organizations had a number of operational databases, which were nearly always relational databases, with the occasional file share. An extract, transform, and load (ETL) process would sweep data from those systems as part of a batch process. The batch would typically run overnight, but in some cases more […]
By Joseph D'Antoni
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Building a Self-Service Business Intelligence Architecture

Self-service business intelligence (SSBI) has long been the holy grail of data warehouse architectures. Many business intelligence software vendors like Tableau, Qlik, and Microsoft (Power BI) like to make SSBI appear to be as easy as getting data into a data model and handing it off to business analysts. The reality is that delivering a […]
By Joseph D'Antoni
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