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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

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Discover the Snowflake Architecture With All its Pros and Cons- NIX United

Mlearning.ai

The platform enables quick, flexible, and convenient options for storing, processing, and analyzing data. The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic. What does Snowflake do?