Conceptual Cloud Data Warehouse - Data Flow Data Sources
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Challenges Data Engineer Challenges Different Format & Schemes
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Modern Data Warehouse - Technology Options
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Data Processing Options - Comparison
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Who is Databricks for?
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BIG Data & Spark Processing - Evolution
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What is Databricks?
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What is Azure Databricks?
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Azure Databricks - CORE Artifacts
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Azure Databricks - Capabilities
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Azure Databricks - Architecture
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Apache Spark Apache Spark is a unified computing engine and a set of libraries for parallel data processing on computer clusters
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Databricks Integration with Azure Data components
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Azure Databricks - Pricing
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Azure Databricks - Security Secure Access
Description:
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.