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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Table of Contents Why Discuss Snowflake & Power BI?

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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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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The measured timestamps (and duration times in case of Task Mining) are enhanced with a time-dimension for BI applications.

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

Datenqualität hingegen, wurde zum wichtigen Faktor jeder Unternehmensbewertung, was Themen wie Reporting, Data Governance und schließlich dann das Data Engineering mehr noch anschob als die Data Science. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green).

Big Data 147
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Process Mining – Ist Celonis wirklich so gut? Ein Praxisbericht.

Data Science Blog

Dabei arbeiten wir technologie-offen und mit nahezu allen Tools – Und oft in enger Verbindung mit Initiativen der Business Intelligence und Data Science. Process Mining wurde kürzlich in die Power Automate Plattform und in Power BI integriert. – Fluxicon (Disco) ist vom Chart verschwunden.

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11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

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The Modern Data Stack Explained: What The Future Holds

Alation

Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? Reverse ETL tools.