Ep08 - Data Over Coffee - Data Cloud скачать в хорошем качестве

Ep08 - Data Over Coffee - Data Cloud

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