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Exploring the Power of Microsoft Fabric: A Hands-On Guide with a Sales Use Case

Data Science Dojo

In the sales domain, this enables real-time monitoring of live sales activities, offering immediate insights into performance and rapid response to emerging trends or issues. Data Factory: Data Factory enhances the data integration experience by offering support for over 200 native connectors to both on-premises and cloud data sources.

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Cloud Data Science News #2

Data Science 101

Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. This command-line tool helps to determine the properties and quality of the data as well the predictive power.

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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

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Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

How to Learn Machine Learning

This includes duplicate removal, missing value treatment, variable transformation, and normalization of data. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. Deployment and Monitoring Once a model is built, it is moved to production.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

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BI Tools Comparison to Improve Data Clarity | Women in Big Data

Women in Big Data

There is a plethora of BI tools available in the market today, with new ones being added yearly. Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making.

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Discovering the Role of Data Science in a Cloud World

Pickl AI

Visualisation tools like Power BI (Azure) and Looker (GCP) offer intuitive reporting interfaces, while AWS integrates Tableau for diverse visualisation needs. Overcoming these challenges ensures the cloud remains a powerful ally in Data Science initiatives.