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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. The data models are seen as data products with defined value, costs and ownership. Each applications has its own data model.

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Introduction to Power BI Datamarts

ODSC - Open Data Science

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Before we look into the Power BI Datamarts, let us take a step back and understand the meaning of a Datamart. What is Power BI Datamarts? What is a Datamart?

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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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Top Ten Power BI Alternatives For Your Data Needs

Pickl AI

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget. What is Power BI?

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Top 8 custom GPTs for data science on OpenAI’s GPT store

Data Science Dojo

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. It aims to provide a clear and concise representation of data.

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Validation techniques ensure models perform well on unseen data. Data Manipulation: Pandas, NumPy, dplyr. Big Data: Apache Hadoop, Apache Spark.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Also, it is expected that the integration of BI solutions with any third-party services will be more seamless. Augmented analytics uses artificial intelligence to process data and prepare insights based on them. Here we present an overview of some of them: Microsoft Power BI. SAP Lumira.