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Connect PostgreSQL on Amazon RDS to MySQL: 2 Easy Ways to Integrate Data

Hevo

Seamlessly connecting PostgreSQL on Amazon RDS to MySQL opens up new possibilities for data consolidation, analysis, and business intelligence. Amazon RDS supports PostgreSQL as one of its database engines, while MySQL continues to be a popular choice for many applications and organizations.

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Consulting Case Study: E-commerce Customer Segmentation

WeCloudData

Tools used: SQL Server, Python, Tableau Milestones Data Consolidation Transactional data Customer ID, Date of purchase, Transaction id of purchase, Total amount spent, Quantity of product ordered, etc. Segment customers based on spending behaviour , time between multiple purchases.

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Consulting Case Study: E-commerce Customer Segmentation

WeCloudData

Tools used: SQL Server, Python, Tableau Milestones Data Consolidation Transactional data Customer ID, Date of purchase, Transaction id of purchase, Total amount spent, Quantity of product ordered, etc. Segment customers based on spending behaviour , time between multiple purchases.

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Quick Reports: Xero to Power BI

FreshBI

Direct Integrations: This custom connector allows you to integrate your Xero data with ANY other dataset. You integrate with your data. All of your data. Consolidations: A. of the Xero authentication process is that multi company Xero Consolidations is possible.

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A step-by-step guide to build an Effective Data Quality Strategy from scratch

Towards Data Science

By this collaboration, we will set the data quality standards that are aligned with the actual needs and expectations of our users.

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Data Science Course Syllabus and Subjects in 2024

Knowledge Hut

The syllabus, resembling a guidebook, talks about organized storage, a unified view, and the flexibility offered by data lakes. For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub. Importance: Efficient organization and retrieval of data.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination. A pipeline may include filtering, normalizing, and data consolidation to provide desired data.