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Best Practices for Technical Columns in Database Design

Towards Data Science

When architecting a transactional database or a data warehouse, it’s important not to forget about various types of technical columns… Continue reading on Towards Data Science ยป

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Data Model Design 101: Composite vs Surrogate Keys

Towards Data Science

When to know which type of key to use in your data models Continue reading on Towards Data Science ยป

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SQL vs NoSQL: 7 Key Takeaways

KDnuggets

Instead, itโ€™s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores. People assume that NoSQL is a counterpart to SQL.

NoSQL 160
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Top 10 Data Science Websites to learn More

Knowledge Hut

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically. Considering this information database model is fitted with data.

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Integrating AWS RDS MSSQL to Redshift: Maximize Insights in 2 Effective Ways

Hevo

Corporations typically store their on-premise data in a database designed for day-to-day transactional operations. Consequently, integrating data from a database into a data warehouse is a crucial step for any organization. Amazon RDS is a database management web […]

AWS 52
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Exploring The Nuances Of Building An Intential Data Culture

Data Engineering Podcast

austin) Podcast Episode Data Community Fund DataHub Podcast Episode Database Design For Mere Mortals by Michael J. austin) Podcast Episode Data Community Fund DataHub Podcast Episode Database Design For Mere Mortals by Michael J.

Building 147
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Top 10 MongoDB Career Options in 2024 [Job Opportunities]

Knowledge Hut

Certifications MongoDB Certified DBA Associate, IBM Certified DBA, KnowledgeHut DBA Course Job Role 2: MongoDB Developer As a MongoDB Developer, youโ€™ll design effective data models, develop optimized queries, and use MongoDB in the applications to fulfill business needs. Proficiency in MongoDB query language and database design principles.

MongoDB 52