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

Data Science Blog

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. Microsoft Azure Cloud is favored by many companies, especially for European industrial companies, due to its scalability, flexibility, and industry-specific solutions.

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Best AI tools: 100+ alternatives for all needs

Dataconomy

Artificial intelligence (AI) is no longer a futuristic concept but a reality that is transforming every industry and profession. Best AI tools for students Artificial intelligence (AI) is transforming the world of education and learning. Good news, you can still get on the AI train! Feel free the use them if you needed.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

Nevertheless, process mining can be considered a sub-discipline of business intelligence. It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Click to enlarge!

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11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

Cloud-Based Orchestration Tools While open-source tools are powerful, cloud-based orchestration services like AWS Glue, Azure Data Factory, and Google Cloud Dataflow offer managed solutions that reduce the burden of infrastructure management. Prefect’s design is particularly suited for modern cloud-based data environments.

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

Data Analytics Platforms: Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, SAP, Pandas. The most common trend shouldn’t come as a surprise, as the most in-demand data analytics platforms revolve around reporting, such as Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, and SAP.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? The mode is the value that appears most frequently in a data set.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Together, data engineers, data scientists, and machine learning engineers form a cohesive team that drives innovation and success in data analytics and artificial intelligence. Cloud Platforms: AWS, Azure, Google Cloud, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.