Ep08 - Data Over Coffee - Data Cloud

Описание: Cloud, data architecture, scalability, security, startups, infrastructure

Welcome back to Data Over Coffee, where we take real-world data and tech conversations out of meeting rooms and turn them into practical chats you can enjoy over a coffee.

We are Arjun Kataria and Ramon Zamorano, two Auckland-based data professionals.

In this episode, we break down Data Cloud in simple terms.

What does it actually mean when companies say they are “moving to the cloud”? Is it just storage on someone else’s computer? Why are organisations shifting from on-premise servers to providers like Microsoft Azure, Google Cloud or AWS? And what changes when your data, compute, and architecture live in the cloud?

Ramon explains cloud from a data architect perspective, covering storage, compute, scalability, security, and governance. Arjun connects it to real-world scenarios, including startups building apps and businesses scaling their analytics.

This episode is especially relevant if you are:

• Building or planning to build an app
• Working in data or analytics
• Managing growing infrastructure
• Moving from on-premise SQL servers to cloud solutions
• Curious about data warehouses, data lakes and object storage

You will learn

• What “data in the cloud” really means beyond simple storage
• The difference between storage and compute in cloud environments
• Why cloud solutions are scalable, elastic and often more cost-effective
• How redundancy across regions improves reliability
• The difference between object storage, data lakes and data warehouses
• Core cloud components: ingestion, storage, processing and consumption
• Security fundamentals including IAM, networking and encryption (at rest vs in transit)
• Why development, test and production environments matter
• Infrastructure as Code and version control in cloud projects
• A real use case of moving from on-prem SQL to a cloud data platform

Key takeaways

• Cloud is not just storage, it is architecture + compute + governance
• Scalability and elasticity are major advantages for startups and growing companies
• Security and access management require serious planning
• Architecture decisions impact both cost and performance
• Cloud adoption should always deliver business value, not just follow trends
• Start small, design properly, scale intentionally

Chapters

00:00 Music
00:14 Welcome and end-of-year reflections
03:19 What is Data Cloud in simple terms
04:42 Storage vs compute explained
07:32 Why companies move to the cloud
10:54 Is cloud really cheaper?
14:54 Real-world examples: streaming, banking, retail
17:00 Choosing a cloud provider
19:09 Object storage vs data warehouse vs data lake
25:03 Core cloud components: ingestion, storage, processing, consumption
28:04 Security, IAM and governance
30:21 Encryption at rest vs in transit
36:32 Best practices and environments (Dev, Test, Prod)
44:27 Infrastructure as Code and Terraform
46:53 Version control and Git in cloud projects
50:02 Real case study: scaling beyond on-prem SQL
54:03 Final key takeaways

Connect with us

Excel in BI – Ramon
Website: [https://www.excelinbi.com](https://www.excelinbi.com)
LinkedIn: linkedin.com/in/razamorano

Softcraft Studio – Arjun
Website: [https://softcraftstudio.net](https://softcraftstudio.net)
LinkedIn: linkedin.com/in/arjunkataria

Hosts: Arjun Kataria, Ramon Zamorano
Location: Auckland, New Zealand

#DataOverCoffee #DataCloud #CloudComputing #DataArchitecture #DataEngineering #Azure #AWS #GoogleCloud #DataWarehouse #DataLake #Startups #NZTech #DataAnalytics