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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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Analyzing the history of Tableau innovation

Tableau

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. April 2018), which focused on users who do understand joins and curating federated data sources.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

The December 2019 release of Power BI Desktop introduced a native Snowflake connector that supported SSO and did not require driver installation. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In late 2021, Power BI introduced custom SQL queries to Snowflake using DirectQuery.

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Analyzing the history of Tableau innovation

Tableau

The Salesforce purchase in 2019. Tableau had its IPO at the NYSE with the ticker DATA in 2013. The Salesforce acquisition in August 2019 ended the Tableau board and the last formal Tableau roles for Chris, Pat, and Christian. April 2018), which focused on users who do understand joins and curating federated data sources.

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Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. Most developers are familiar with Git for source code versioning.

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Alation Ranked Top Data Catalog Third Year in a Row

Alation

A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives. In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Get the 2019 Dresner Data Catalog Study.

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

data # Assing local directory path to a python variable local_data_path = ". . By using the flexible document data model of MongoDB Atlas, organizations can represent and query complex knowledge entities and their relationships within Amazon Bedrock.

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