Managing a Multi-Cloud Data and Analytics Platform - Challenges and Solutions

Explore the complexities and benefits of managing a multi-cloud data and analytics platform in this 40-minute video presentation by Databricks. Delve into the growing trend of multicloud adoption and its predicted prevalence by 2022. Discover the various reasons enterprises opt for multicloud strategies, including vendor lock-in prevention, access to best-of-breed cloud services, and regional requirements. Examine the challenges associated with this model, particularly the disparate approaches of different cloud providers. Learn how to effectively manage the Databricks Lakehouse Platform, a unified solution for data, analytics, and AI across major cloud providers such as AWS, Microsoft Azure, and Google Cloud. Gain insights into historical context, business value chains, integration techniques, data ingestion methods, and local vs. federated models. Conclude with key takeaways and a practical project example showcasing the Databricks Lake House Platform in action.

Introduction
Agenda
Historical Context
Why MultiCloud is Important
Challenges of MultiCloud
MultiCloud Business
Value Chain
Requirements
Who What Where
Azure
Service Principles
Integration
Data Sets
Inventory
Data Location
Data Assets
Data Ingestion
Local vs Federated Models
Takeaway
Databricks Lake House Platform
What is Databricks
Project Example