Azure Data Engineer Course | Microsoft Azure Data Engineer
                     What is 
Azure Databricks 
and How is It Used 
in Data Engineering?
Subtitle: 
Accelerating Big Data and AI Workloads 
with Azure
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Introduction to Azure Databricks
• Unified analytics platform powered by 
Apache Spark
• Jointly developed by 
Microsoft and Databricks
• Designed for big data processing, 
machine learning, and analytics
•
www.visuaSlpaetha.inmless integration with Azure serv+9i1c-7e03s2290546
Core Features of Azure Databricks
• Apache Spark-based engine 
for fast, distributed data 
processing
• Collaborative workspace for 
data engineers, scientists & 
analysts
• Auto-scaling and optimized 
clusters
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• Supports Python, SQL, Scala, 
R, and Java
Architecture Overview
• Combines Databricks with 
Azure Data Lake, Blob Storage, and 
Azure Synapse
• Uses Azure Active Directory for access 
control
• Supports both batch and streaming 
data pipelines
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• Highly scalable for enterprise workloads
Use Cases in Data Engineering
• Data Ingestion from multiple 
sources (SQL, NoSQL, files, APIs)
• ETL/ELT Pipelines using Spark 
jobs
• Data Cleansing & 
Transformation
• Data Lake Integration and 
data warehouse prep
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ELT with Azure Databricks
• Load raw data into Azure Data Lake
• Transform using Spark notebooks or 
SQL
• Load transformed data into 
Azure Synapse Analytics
• Automates and optimizes workflows
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Integration with Azure Services
• Azure Data Factory for 
orchestration
• Azure Synapse for analytics
• Azure Machine Learning for 
model training
• Power BI for visualization and 
dashboards
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Benefits for Data Engineers
• High-speed parallel processing
• Scalable & secure architecture
• Supports CI/CD and DevOps pipelines
• Reduces data pipeline development time
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Conclusion
• Azure Databricks streamlines 
modern data engineering
• Ideal for big data, machine learning, 
and real-time analytics
• A key component of the Azure data 
ecosystem
• Empowers engineers to build 
efficient, scalable data pipelines
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For More Information About 
Azure Data Engineering
Address:- Flat no: 205, 2nd Floor,
   Nilagiri Block, Aditya Enclave,  Ameerpet, 
Hyderabad-16
   Ph. No: +91-998997107
  www.visualpath.in
    [email protected]
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Thank You
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