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EP21: Which Database is Suitable for Your Organisation - SQL or NoSQL? || Being An Analyst
Hi Fellow Analysts
In this episode, we delve into the fascinating world of database types and their pivotal role in data management. Whether you're a seasoned analyst or just starting out, understanding databases is crucial in today's data-driven world.
We explore a variety of database types, each tailored to specific use cases, from Relational Databases to Document Databases, Graph Databases, Analytical Databases, Column-Family Databases, and Key-Value Databases. Along the way, we unpack the characteristics, advantages, and disadvantages of each, shedding light on the ideal scenarios for their implementation.
From the structured tables of Relational Databases to the flexible schemas of Document Databases, and the relationship-focused approach of Graph Databases, we cover it all. We also delve into the complexities of Analytical Databases, the efficiency of Column-Family Databases, and the simplicity of Key-Value Databases.
Whether you're seeking strong data integrity, scalability, or rapid data access, there's a database type tailored to your needs. Join us as we navigate the intricate landscape of database management and empower you to make informed decisions for your projects. Tune in now to level up your database knowledge and enhance your data analysis skills!
If you love insights like this, consider subscribing to our bi-weekly newsletter and WhatsApp group for daily insights or purchase our books on Amazon to grow the community
• Subscribe via Email: https://newsletter.beingananalyst.co.za/
• Join Analyst Chat on WhatsApp: [https://chat.whatsapp.com/JKBpoKrHO2xEkytlWtujGn]
• Books on Amazon: [https://amzn.to/4d6bX0K]
This podcast is dedicated to discussing the following: Analysis mindset, Data analysis, Career tips/ Career advice, Analyst career, Business analysis, Financial analysis, Analyst training, Analytics, Industry 4.0/4IR, Business intelligence, AI in business, Financial Reporting, Career development, Data science, IT strategy, Professional development, Analysis for SMMEs, and Data Industry trends
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By Lisema MatsietsiHi Fellow Analysts
In this episode, we delve into the fascinating world of database types and their pivotal role in data management. Whether you're a seasoned analyst or just starting out, understanding databases is crucial in today's data-driven world.
We explore a variety of database types, each tailored to specific use cases, from Relational Databases to Document Databases, Graph Databases, Analytical Databases, Column-Family Databases, and Key-Value Databases. Along the way, we unpack the characteristics, advantages, and disadvantages of each, shedding light on the ideal scenarios for their implementation.
From the structured tables of Relational Databases to the flexible schemas of Document Databases, and the relationship-focused approach of Graph Databases, we cover it all. We also delve into the complexities of Analytical Databases, the efficiency of Column-Family Databases, and the simplicity of Key-Value Databases.
Whether you're seeking strong data integrity, scalability, or rapid data access, there's a database type tailored to your needs. Join us as we navigate the intricate landscape of database management and empower you to make informed decisions for your projects. Tune in now to level up your database knowledge and enhance your data analysis skills!
If you love insights like this, consider subscribing to our bi-weekly newsletter and WhatsApp group for daily insights or purchase our books on Amazon to grow the community
• Subscribe via Email: https://newsletter.beingananalyst.co.za/
• Join Analyst Chat on WhatsApp: [https://chat.whatsapp.com/JKBpoKrHO2xEkytlWtujGn]
• Books on Amazon: [https://amzn.to/4d6bX0K]
This podcast is dedicated to discussing the following: Analysis mindset, Data analysis, Career tips/ Career advice, Analyst career, Business analysis, Financial analysis, Analyst training, Analytics, Industry 4.0/4IR, Business intelligence, AI in business, Financial Reporting, Career development, Data science, IT strategy, Professional development, Analysis for SMMEs, and Data Industry trends