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Microsoft Launches Data Science Certifications

Data Science 101

In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. They launched the Microsoft Professional Program in Data Science back in 2017. Here are details about the 3 certification of interest to data scientists and data engineers. Azure Data Scientist Associate.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. This method is particularly effective in capturing the complexities and many-to-many relationships inherent in modern business processes.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

Data Versioning and Time Travel Open Table Formats empower users with time travel capabilities, allowing them to access previous dataset versions. Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. Gateways are being used as another layer of security between Snowflake or cloud data source and Power BI users.

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Data Mesh Architecture and the Data Catalog

Alation

Data mesh inverts the common model of having a centralized team (such as a data engineering team), who manage and transform data for wider consumption. In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data.

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Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning Blog

For instance, in 2021, we saw a significant increase in awareness of clinical research studies seeking volunteers, which was reported at 63% compared to 54% in 2019 by Applied Clinical Trials. Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities.

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