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Who is Databricks for?
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Classroom Contents
Introduction to Azure Data Bricks - Cloud
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- 1 Intro
- 2 PASS Summit 2019 Introducing Learning Pathways
- 3 PASS Summit 2019 Future-Proof Your Data Career
- 4 PASS Virtual Groups
- 5 Extraction Transform and Load Process Source
- 6 Big data and advanced analytics scenarios
- 7 Conceptual Cloud Data Warehouse - Data Flow Data Sources
- 8 Challenges Data Engineer Challenges Different Format & Schemes
- 9 Modern Data Warehouse - Technology Options
- 10 Data Processing Options - Comparison
- 11 Who is Databricks for?
- 12 BIG Data & Spark Processing - Evolution
- 13 What is Databricks?
- 14 What is Azure Databricks?
- 15 Azure Databricks - CORE Artifacts
- 16 Azure Databricks - Capabilities
- 17 Azure Databricks - Architecture
- 18 Apache Spark Apache Spark is a unified computing engine and a set of libraries for parallel data processing on computer clusters
- 19 Databricks Integration with Azure Data components
- 20 Azure Databricks - Pricing
- 21 Azure Databricks - Security Secure Access
