Introduction to Azure Data Bricks - Cloud

Explore Azure Databricks, a powerful data service in Azure, through this informative conference talk from PASS Data Community Summit. Gain insights into how Azure Databricks fits into various architectural scenarios, from analytics and ETL processes to streaming data and machine learning use cases. Learn about the platform's core artifacts, capabilities, and architecture, as well as its integration with other Azure data components. Discover the evolution of big data and Spark processing, understand the challenges faced by data engineers, and compare different data processing options. Delve into topics such as modern data warehouse technology options, Apache Spark's role as a unified computing engine, and Azure Databricks' pricing and security features. By the end of this 53-minute session, acquire the knowledge needed to start leveraging Azure Databricks in your organization's data strategy.

Intro
PASS Summit 2019 Introducing Learning Pathways
PASS Summit 2019 Future-Proof Your Data Career
PASS Virtual Groups
Extraction Transform and Load Process Source
Big data and advanced analytics scenarios
Conceptual Cloud Data Warehouse - Data Flow Data Sources
Challenges Data Engineer Challenges Different Format & Schemes
Modern Data Warehouse - Technology Options
Data Processing Options - Comparison
Who is Databricks for?
BIG Data & Spark Processing - Evolution
What is Databricks?
What is Azure Databricks?
Azure Databricks - CORE Artifacts
Azure Databricks - Capabilities
Azure Databricks - Architecture
Apache Spark Apache Spark is a unified computing engine and a set of libraries for parallel data processing on computer clusters
Databricks Integration with Azure Data components
Azure Databricks - Pricing
Azure Databricks - Security Secure Access